{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Weather in Australia\n",
    "## Classification and Data Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Getting Started"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sb\n",
    "import category_encoders as ce\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.metrics import f1_score,confusion_matrix\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1 Loading file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Location</th>\n",
       "      <th>MinTemp</th>\n",
       "      <th>MaxTemp</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>Evaporation</th>\n",
       "      <th>Sunshine</th>\n",
       "      <th>WindGustDir</th>\n",
       "      <th>WindGustSpeed</th>\n",
       "      <th>WindDir9am</th>\n",
       "      <th>...</th>\n",
       "      <th>Humidity3pm</th>\n",
       "      <th>Pressure9am</th>\n",
       "      <th>Pressure3pm</th>\n",
       "      <th>Cloud9am</th>\n",
       "      <th>Cloud3pm</th>\n",
       "      <th>Temp9am</th>\n",
       "      <th>Temp3pm</th>\n",
       "      <th>RainToday</th>\n",
       "      <th>RISK_MM</th>\n",
       "      <th>RainTomorrow</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008-12-01</td>\n",
       "      <td>Albury</td>\n",
       "      <td>13.4</td>\n",
       "      <td>22.9</td>\n",
       "      <td>0.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>W</td>\n",
       "      <td>44.0</td>\n",
       "      <td>W</td>\n",
       "      <td>...</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1007.7</td>\n",
       "      <td>1007.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.9</td>\n",
       "      <td>21.8</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008-12-02</td>\n",
       "      <td>Albury</td>\n",
       "      <td>7.4</td>\n",
       "      <td>25.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WNW</td>\n",
       "      <td>44.0</td>\n",
       "      <td>NNW</td>\n",
       "      <td>...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1010.6</td>\n",
       "      <td>1007.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.2</td>\n",
       "      <td>24.3</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008-12-03</td>\n",
       "      <td>Albury</td>\n",
       "      <td>12.9</td>\n",
       "      <td>25.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WSW</td>\n",
       "      <td>46.0</td>\n",
       "      <td>W</td>\n",
       "      <td>...</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1007.6</td>\n",
       "      <td>1008.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>23.2</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2008-12-04</td>\n",
       "      <td>Albury</td>\n",
       "      <td>9.2</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NE</td>\n",
       "      <td>24.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1017.6</td>\n",
       "      <td>1012.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.1</td>\n",
       "      <td>26.5</td>\n",
       "      <td>No</td>\n",
       "      <td>1.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2008-12-05</td>\n",
       "      <td>Albury</td>\n",
       "      <td>17.5</td>\n",
       "      <td>32.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>W</td>\n",
       "      <td>41.0</td>\n",
       "      <td>ENE</td>\n",
       "      <td>...</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1010.8</td>\n",
       "      <td>1006.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>29.7</td>\n",
       "      <td>No</td>\n",
       "      <td>0.2</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Location  MinTemp  MaxTemp  Rainfall  Evaporation  Sunshine  \\\n",
       "0  2008-12-01   Albury     13.4     22.9       0.6          NaN       NaN   \n",
       "1  2008-12-02   Albury      7.4     25.1       0.0          NaN       NaN   \n",
       "2  2008-12-03   Albury     12.9     25.7       0.0          NaN       NaN   \n",
       "3  2008-12-04   Albury      9.2     28.0       0.0          NaN       NaN   \n",
       "4  2008-12-05   Albury     17.5     32.3       1.0          NaN       NaN   \n",
       "\n",
       "  WindGustDir  WindGustSpeed WindDir9am      ...      Humidity3pm  \\\n",
       "0           W           44.0          W      ...             22.0   \n",
       "1         WNW           44.0        NNW      ...             25.0   \n",
       "2         WSW           46.0          W      ...             30.0   \n",
       "3          NE           24.0         SE      ...             16.0   \n",
       "4           W           41.0        ENE      ...             33.0   \n",
       "\n",
       "   Pressure9am  Pressure3pm  Cloud9am  Cloud3pm  Temp9am  Temp3pm  RainToday  \\\n",
       "0       1007.7       1007.1       8.0       NaN     16.9     21.8         No   \n",
       "1       1010.6       1007.8       NaN       NaN     17.2     24.3         No   \n",
       "2       1007.6       1008.7       NaN       2.0     21.0     23.2         No   \n",
       "3       1017.6       1012.8       NaN       NaN     18.1     26.5         No   \n",
       "4       1010.8       1006.0       7.0       8.0     17.8     29.7         No   \n",
       "\n",
       "   RISK_MM  RainTomorrow  \n",
       "0      0.0            No  \n",
       "1      0.0            No  \n",
       "2      0.0            No  \n",
       "3      1.0            No  \n",
       "4      0.2            No  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "australia = pd.read_csv('weatherAUS.csv')\n",
    "australia.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2 Dropping some columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "australia = australia.drop(['Location','Date','Evaporation','Sunshine', 'Cloud9am','Cloud3pm',\n",
    "                           'WindGustDir','WindGustSpeed','WindDir9am','WindDir3pm','WindSpeed9am',\n",
    "                           'WindSpeed3pm'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 1.3 Splitting 'Y' vector and 'X' matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "Y = australia.RainTomorrow\n",
    "X = australia.drop(['RainTomorrow'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.4 Plotting balance between positive and negative classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rain:  110316\n",
      "Not Rain :  31877\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjIAAAF9CAYAAAAeKoJ9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzt3X+YXVV97/H3zEQmhBIJgQKKLYrXr4oWA9LwWwSttX2K\n3NhWq7VAaKTSXAoSobaaVKhiU36oXClqpVy0tZQqYG2pUqkGhGggaWpT/KL8EkLkQgiEC/lBMnP/\nWPvIdpjJ/MgZztnk/XqeeTJnf/dee+3zzMBn1lp7n57BwUEkSZKaqLfTHZAkSZoog4wkSWosg4wk\nSWosg4wkSWosg4wkSWosg4wkSWosg4wkSWosg4wkSWosg4wkSWqsKZ3uQF1E9AO3AX+YmUuqbYcC\nFwK/BDwAXJCZn68d8ybgYuBlwK3AvMy8p1Y/A1gA7ApcDczPzI21810KzAGeAi7MzItqx+4HfA44\nDLgXODMzb5iMa5ckSePXNSMyVaj4EvDq2ra9gH8BbgReB/wZcElEvLWq/wJwDfB54PXAI8C1tePf\nDiwE5gHHAocCi2unvQA4CDgGOA1YFBFzavVrgQeBg4EvAtdExL5tumRJkrSdumJEJiJeBfzdMKUT\ngDWZ+eHq9V0R8UbgXcD1wO8DyzLzE1U7JwM/iYijqxGd04GLM/P6qn4q8I2IOJsS4k4B3pKZK4GV\nEbEYmA98JSKOpYzyHFqN4Hw8Io4D5gLnTsLbIEmSxqlbRmTeAHyTMoXTU9t+PXDyMPu/sPp3NrCk\ntTEzNwDLgcMiohc4BLipdtxSYCfgwOprCmU6quXmqs1W28tb01C1+mHjuTBJkjR5umJEJjMva30f\nEfXtPwZ+XKv9PPBOynQRwD6UqZ+6h4B9gd2AqfV6Zm6NiLVVfRB4JDO3DDl2akTMHKVtSZLUBboi\nyIxFREwFvkwJF5+tNk8DNg3ZdRPQX9XYRr13hBq140c6VpIkdYFGBJmI2AX4KvBy4IjadM9Gnh0s\n+oF1VY0R6k9Rrn24GlV9I7D7CMeOyeDg4GBPT8/oO0qSpKHG9D/Qrg8yEbEr8K+UhbdvzMy7a+XV\nwN5DDtkbWAGspYSRvYE7q7b6gJnAGsqIzB4R0ZuZA7VjN2TmYxGxmtodVLX6mrH2/dFHn6S31yAj\nSdJ4zZixy5j26+ogExE9lNur9wOOzswfDtllKXBkbf9pwCxgYWYORsSyqt5aEHw4sBlYSUl6T1Nu\nyb6lqh8FLKu1fU5E9Gdma4rpSH528fA2DQwMMjAwONbdJUnSOHV1kKHcXn0M8BvA+uq5MgCbM3Md\ncDmwoLqd+mvAIuDu1sP0KA+7uywiVlHW1lwKfLb2QLwrq/pcyiLes4ATq2O/DdwPXBER5wHHU+6C\nOmnyLleSJI1Ht9x+XTdYfUF54m4PJaQ8WPv6MkBm3lftMxf4HuVOpRNaDWXmVcD5wGeAr1NutT6n\ndq73A7dTHrh3CfDhzLyuOnYAeBtlOuk2yrNrTsjMB9p9wZIkaWJ6Bged+pgsDz/8hG+uJEkTsOee\nu45pkWk3jshIkiSNiUFGkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1lkFG\nkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1lkFGkiQ1\n1pROd0Djt3nzZlat+n6nuyFNugMOeC077bRTp7shqYsZZBpo1arvs/ATX+KFM1/c6a5Ik+bxtas5\n9wyYNevgTndFUhczyDTUC2e+mJn77N/pbkiS1FGukZEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEk\nSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1l\nkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY01pdMdqIuIfuA24A8zc0m1bT/gc8BhwL3AmZl5\nQ+2YNwEXAy8DbgXmZeY9tfoZwAJgV+BqYH5mbqyd71JgDvAUcGFmXlQ7dpvnliRJndU1IzJVqPgS\n8OohpWuBB4GDgS8C10TEvtUxLwGuAT4PvB54pNq/1ebbgYXAPOBY4FBgca3tC4CDgGOA04BFETFn\nLOeWJEmd1xVBJiJeBSwFXjpk+7GUkZZTs/g4ZdRlbrXLPGBZZn4iM+8ATgb2i4ijq/rpwMWZeX1m\n3g6cCpwSEVMjYhpwCnB6Zq7MzOsoIWf+GM8tSZI6rCuCDPAG4JuUKZye2vbZwPLWVFDl5mq/Vn1J\nq5CZG4DlwGER0QscAtxUO3YpsBNwYPU1hRJO6m3PHuO5JUlSh3XFGpnMvKz1fUTUS/tQpnbqHgL2\nHUN9N2BqvZ6ZWyNibVUfBB7JzC1Djp0aETPHcG5JktRhXRFktmEasGnItk1A/xjq02qvh6v3jlCj\ndvy2zj2q3t4eent7Rt9xnPr6umUgTZpcfX29TJniz7ukkXV7kNkI7D5kWz/lDqNWfWiw6AfWVTVG\nqD9FufbhalT10c49qt1334WenvYHmenTd257m1I3mj59Z2bM2KXT3ZDUxbo9yKzm2Xcx7Q2sqdX3\nHqa+AlhLCSN7A3cCREQfMLM6vhfYIyJ6M3OgduyGzHwsIkY796geffTJSRmRWb9+Q9vblLrR+vUb\nWLfuyU53Q1IHjPWPmG4PMkuBcyKiPzNb0zxH8swC3qXVawCqO5FmAQszczAillX11oLgw4HNwErK\nouKnKbdk31LVjwKWjfHcoxoYGGRgYHCsu4/Z1q0Do+8kPQ9s3TrAli3+vEsaWbcHmW8D9wNXRMR5\nwPGUO5FOquqXAwsi4mzga8Ai4O7Ww/QoD7u7LCJWURbuXgp8tvZAvCur+lzKIt6zgBPHeG5JktRh\n3biK7qdDGNWUz9soUzq3Ae8CTsjMB6r6fZSn8s4Fvke5U+mE2vFXAecDnwG+TrnV+pzaud4P3A7c\nCFwCfLh6nsyo55YkSZ3XMzjY/qkPFQ8//MSkvLkrVtzOhV9Ywsx99p+M5qWusHbNXZz1nqOZNevg\nTndFUgfsueeuY1pk2o0jMpIkSWNikJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1l\nkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEk\nSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1l\nkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEk\nSY1lkJEkSY1lkJEkSY1lkJEkSY01pdMdGE1E7Av8FXA0sBb4ZGZ+sqrtB3wOOAy4FzgzM2+oHfsm\n4GLgZcCtwLzMvKdWPwNYAOwKXA3Mz8yNVa0fuBSYAzwFXJiZF03mtUqSpPFpwojM1cATwEHAGcBH\nI+JtVe064EHgYOCLwDVV8CEiXgJcA3weeD3wCHBtq9GIeDuwEJgHHAscCiyunfeC6pzHAKcBiyJi\nzqRcoSRJmpCuHpGJiN2A2cApmXkXcFdE/CtwXESsB14KzK5GUT4eEccBc4FzKQFlWWZ+omrrZOAn\nEXF0Zi4BTgcuzszrq/qpwDci4mxKwDsFeEtmrgRWRsRiYD7wlefsDZAkSdvU7SMyG4AngZMjYkpE\nBHAEsIIygrK8NRVUuZkyzQQlAC1pFTJzA7AcOCwieoFDgJtqxy4FdgIOrL6mUKaj6m3Pbt+lSZKk\n7dXVQSYzN1FGQf6AEmruAP4lM/8G2IcyrVT3ELBv9f226rsBU+v1zNxKWYOzb3XsI5m5ZcixUyNi\n5vZfmSRJaoeuDjKVVwFfBX4ZOAn4zYh4FzAN2DRk301Af/X9turTaq9Hqg9Xo9a+JEnqsG5fI3Mc\nZa3KvtXozIpqMe+HgG8CQ0dH+il3GAFs5Nmhox9YV9UYof4U5X0Zrkat/VH19vbQ29sz1t3HrK+v\nCflT2n59fb1MmeLPu6SRdXWQodw19MMqxLSsAP4EWA0cMGT/vYE11ferq9dD6ysoU0gbq9d3AkRE\nHyUYraGMVO0REb2ZOVA7dkNmPjbWzu+++y709LQ/yEyfvnPb25S60fTpOzNjxi6d7oakLtbtQeZB\n4OURMaW2XuVVwD2UxbkfjIj+WtA5kmcW8C6tXgMQEdOAWcDCzByMiGVVvbUg+HBgM7AS6AGepiwo\nvqWqHwUsG0/nH330yUkZkVm/fkPb25S60fr1G1i37slOd0NSB4z1j5huDzL/RHm2y19HxEeBVwIf\nrL6WAPcDV0TEecDxlDuRTqqOvRxYUN1O/TVgEXB3des1lIfdXRYRqyiB6VLgs7UH4l1Z1edSFgCf\nBZw4ns4PDAwyMDA4kevepq1bB0bfSXoe2Lp1gC1b/HmXNLKunnzOzPXAcZS7iL4HXAicm5l/XU35\nHE+Z8rkNeBdwQmY+UB17H+WpvHOrY3cDTqi1fRVwPvAZ4OuUW63PqZ3+/cDtwI3AJcCHM/O6SbtY\nSZI0bj2Dg+0fMVDx8MNPTMqbu2LF7Vz4hSXM3Gf/yWhe6gpr19zFWe85mlmzDu50VyR1wJ577jqm\ntRldPSIjSZK0LQYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLU\nWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZ\nSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLU\nWAYZSZLUWAYZSZLUWG0PMhGxd7vblCRJGs6EgkxEbI2IPYfZvh/wo+3tlCRJ0lhMGeuOETEX+N3q\nZQ9wTURsHrLbi4B1beqbJEnSNo05yADXAkdSQgzAA8CGWn0Q+C/g/7Sna5IkSds25iCTmY8CcwEi\nAuCPMnP9JPVLkiRpVOMZkfmpzDwZICL2AnbimVGaVv3H2981SZKkbZtQkImIwyhTSPsPKfVQppj6\ntrNfkiRJo5pQkAEuAdYAC4DH29cdSZKksZtokHkNMCsz72hnZyRJksZjog/Eux/4uXZ2RJIkabwm\nOiLz58AnI+JU4AeZ+XQb+/QzImIn4GLgd4BNwOWZ+adVbT/gc8BhwL3AmZl5Q+3YN1XHvgy4FZiX\nmffU6mdQpsd2Ba4G5mfmxqrWD1wKzAGeAi7MzIsm6zolSdL4TXRE5kPAwcB/ABurJ/3+9Kt93QPg\nU8BxwJuBdwHzImJeVbsOeLDqyxcpD+nbFyAiXgJcA3weeD3wCOVZOFT1twMLgXnAscChwOLaeS8A\nDgKOAU4DFkXEnDZfmyRJ2g7bMyIz6SJiBuXZNcdm5u3VtguA2RHxI+ClwOxqFOXjEXFctf+5lICy\nLDM/UR13MvCTiDg6M5cApwMXZ+b1Vf1U4BsRcTYl4J0CvCUzVwIrI2IxMB/4ynNx7ZIkaXQTfY7M\nc/X03iOBxzLz5tq5FwNExAeB5a2poMrNlGkmgNnAktpxGyJiOXBYRNwMHAIsqh27lPJMnAMpQWYK\nZTqq3vaftOm6JElSG0z0OTILt1XPzHMn1p1neRlwb0S8hxIidgL+BvgosA9lWqnuIWDf6vtt1XcD\nptbrmbk1ItZW9UHgkczcMuTYqRExMzPXtuHaJEnSdpro1NLJw7SzF/A08J3t6tHP+jngFcB7gZMo\n4eQzlMW30yiLf+s2Af3V99uqT6u9Hq7eO0KNWvuj6u3tobe3Z/Qdx6mvb6JLm6Rm6evrZcoUf94l\njWyiU0svHbotIqZTFtbesr2dqtlCuaPodzLzgeo8v0hZfPsNYOaQ/fspIQdgI88OHf2UT+feWHs9\n3PFTRqhRa39Uu+++Cz097Q8y06fv3PY2pW40ffrOzJixS6e7IamLTXRE5lkyc31ELKIEjIvb1Owa\nYGMrxLRORZn+WQ0cMGT/vatjqOp7D1NfAaylhJm9gTsBIqKPEozWUEZk9oiI3swcqB27ITMfG2vn\nH330yUkZkVm/fsPoO0nPA+vXb2Dduic73Q1JHTDWP2LaFmQqL6SsP2mXpZR1KS/PzB9V215NeWbM\nUuCDEdGfma1pnyOBm2rHHtlqKCKmAbOAhZk5GBHLqnprQfDhwGZgJeUzo56m3JLdGmE6Clg2ns4P\nDAwyMDA4nkPGZOvWgdF3kp4Htm4dYMsWf94ljaydi32nA+8AbtyuHtVk5p0R8c/AFRFxGmWNzDmU\n26uXUJ4wfEVEnAccT7kT6aTq8MuBBdXt1F+j3KF0d3XrNZSH3V0WEasoi34vBT5beyDelVV9LmUE\n6CzgxHZdmyRJ2n7tWuwLZTTjm7T/FuV3Uz6k8ibK+pRPZeanASLieMq6nNuAHwEntKahMvO+6gF2\nn6Q8+O47wAmtRjPzqmq9zWcod0P9IyUktbyfEm5upHww5ocz87o2X5skSdoOPYOD7Z/6UPHww09M\nypu7YsXtXPiFJczcZ//JaF7qCmvX3MVZ7zmaWbMO7nRXJHXAnnvuOqZFphNeIxMRPcBbgNdS1pOs\nAm7MzHZ/RIEkSdKwJrpGZnfg65TPOHqcsjh2OnB7RLx5PHf2SJIkTdREnzR1AeWhcq/LzBmZuRvl\njqCpwPnt6pwkSdK2TDTI/AZwWmb+Z2tD9eGK/wv4n+3omCRJ0mgmGmReAPxkmO0/oUwxSZIkTbqJ\nBpnbgfcNs/00ypNzJUmSJt1E71r6EPDvEXEYz3xI5JHA6yh3MkmSJE26CY3IZOatwNGUJ+u+BfhV\nymLfIzLz39vXPUmSpJFNKMhExEHAvwD3ZuYBmflqyoc0XhcRQz/IUZIkaVJMdI3MRcBX+dmPI9if\n8myZdn3ytSRJ0jZNNMgcDPx5Zm5ubaie6Hs+MLsdHZMkSRrNRIPME8DLhtn+ImDTxLsjSZI0dhO9\na+nLwKUR8T7gu9W2Q4BPA19pR8ckSZJGM9Eg88eUNTE3APVPeL4G+MD2dkqSJGksJhRkMvNJ4Nci\n4hU88+nXd2TmD9vZOUmSpG2Z6IgMAJl5J3Bnm/oiSZI0LhNd7CtJktRxBhlJktRYBhlJktRYBhlJ\nktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRY\nBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJktRYBhlJ\nktRYBhlJktRYUzrdgfGIiH8GHsrMudXr/YDPAYcB9wJnZuYNtf3fBFwMvAy4FZiXmffU6mcAC4Bd\ngauB+Zm5sar1A5cCc4CngAsz86JJvkRJkjQOjRmRiYh3Am8dsvla4EHgYOCLwDURsW+1/0uAa4DP\nA68HHqn2b7X3dmAhMA84FjgUWFxr+wLgIOAY4DRgUUTMafd1SZKkiWtEkImIGZSQ8b3atmMpIy2n\nZvFxyqjL3GqXecCyzPxEZt4BnAzsFxFHV/XTgYsz8/rMvB04FTglIqZGxDTgFOD0zFyZmddV558/\n+VcrSZLGqhFBhjI6ciVwR23bbGB5ayqocjNlmqlVX9IqZOYGYDlwWET0AocAN9WOXQrsBBxYfU2h\nBKN627PbcTGSJKk9uj7IVCMvRwHnDSntQ5lWqnsI2HcM9d2AqfV6Zm4F1lb1fYBHMnPLkGOnRsTM\nCV+MJElqq65e7FstuL0MOC0zN0VEvTwN2DTkkE1A/xjq02qvh6v3jlCj1v6oent76O3tGevuY9bX\n1/X5U2qLvr5epkzx513SyLo6yAB/Rlnn8m/D1DYCuw/Z1k+5w6hVHxo6+oF1VY0R6k9R3pfhatTa\nH9Xuu+9CT0/7g8z06Tu3vU2pG02fvjMzZuzS6W5I6mLdHmTeAewVEU9Ur/sBIuI3gY8Brx6y/97A\nmur71dXrofUVlCmkjdXrO6s2+4CZ1fG9wB4R0ZuZA7VjN2TmY2Pt/KOPPjkpIzLr129oe5tSN1q/\nfgPr1j3Z6W5I6oCx/hHT7UHmDcALaq8XA4PA2cB+wB9HRH9mtqZ9juSZBbxLq9cAVHcizQIWZuZg\nRCyr6q0FwYcDm4GVQA/wNOWW7Fuq+lHAsvF0fmBgkIGBwfEcMiZbtw6MvpP0PLB16wBbtvjzLmlk\nXR1kMvP++utqZGYwM++JiPuA+4ErIuI84HjKnUgnVbtfDiyIiLOBrwGLgLszsxVcLgUui4hVlEW/\nlwKfrT0Q78qqPpeyAPgs4MRJu1hJkjRujV1FV035vI0y5XMb8C7ghMx8oKrfR3kq71zK82d2A06o\nHX8VcD7wGeDrlFutz6md4v3A7cCNwCXAh6vnyUiSpC7RMzjY/qkPFQ8//MSkvLkrVtzOhV9Ywsx9\n9p+M5qWusHbNXZz1nqOZNevgTndFUgfsueeuY1pk2tgRGUmSJIOMJElqLIOMJElqLIOMJElqLIOM\nJElqLIOMJElqLIOMJElqLIOMJElqLIOMJElqLIOMJElqLIOMJElqLIOMJElqLIOMJElqLIOMJElq\nrCmd7oAkPd9s3ryZVau+3+luSJPugANey0477dTRPhhkJKnNVq36Pude9VF2e/HMTndFmjSPrV7L\nwnf8KbNmHdzRfhhkJGkS7Pbimezx0r063Q3pec81MpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIk\nqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEM\nMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbEMMpIkqbGmdLoDo4mIFwGf\nAt4IPAX8A/DBzNwcEfsBnwMOA+4FzszMG2rHvgm4GHgZcCswLzPvqdXPABYAuwJXA/Mzc2NV6wcu\nBeZU570wMy+a1IuVJEnj0oQRmS8DU4EjgHcCvwGcV9WuAx4EDga+CFwTEfsCRMRLgGuAzwOvBx4B\nrm01GhFvBxYC84BjgUOBxbXzXgAcBBwDnAYsiog5k3GBkiRpYrp6RCYiAvhlYK/MfKTathD4y4j4\nV+ClwOxqFOXjEXEcMBc4lxJQlmXmJ6rjTgZ+EhFHZ+YS4HTg4sy8vqqfCnwjIs6mBLxTgLdk5kpg\nZUQsBuYDX3murl+SJG1bt4/I/AT41VaIqXkhZQRleWsqqHIzZZoJYDawpFXIzA3AcuCwiOgFDgFu\nqh27FNgJOLD6mkKZjqq3PXt7L0iSJLVPVweZzHx8yJqXHsqoyDeBfSjTSnUPAftW32+rvhtluuqn\n9czcCqyt6vsAj2TmliHHTo2Imdt5WZIkqU26OsgM4y+BWcCfAtOATUPqm4D+6vtt1afVXo9UH65G\nrX1JktRhXb1Gpi4i/oKyruW3M/O/I2IjsPuQ3fopdxgBbOTZoaMfWFfVGKH+FOV9Ga5Grf1R9fb2\n0NvbM9bdx6yvr2n5U5qYvr5epkxp3s+7v6PaUXTD72gjgkxEXAKcCrw7M1t3Hq0GXj1k172BNbX6\n3sPUV1CmkDZWr++sztEHzKyO7wX2iIjezByoHbshMx8ba793330XenraH2SmT9+57W1K3Wj69J2Z\nMWOXTndj3Pwd1Y6iG35Huz7IRMQi4L3AOzLzmlppKXBORPRnZmva50ieWcC7tHrdamcaZVpqYWYO\nRsSyqt5aEHw4sBlYCfQAT1MWFN9S1Y8Clo2n748++uSkjMisX7+h7W1K3Wj9+g2sW/dkp7sxbv6O\nakcxmb+jYw1IXR1kIuJVwIeAjwG3RMRetfK3gfuBKyLiPOB4yp1IJ1X1y4EF1e3UXwMWAXdXt15D\nedjdZRGxirLo91Lgs7UH4l1Z1edSFgCfBZw4nv4PDAwyMDA4voseg61bB0bfSXoe2Lp1gC1bmvfz\n7u+odhTd8Dva7RO5x1P6+CFK2HiQMvXzYDXlcwJlyuc24F3ACZn5AEBm3kd5Ku9c4HuUO5VOaDWc\nmVcB5wOfAb5OudX6nNq53w/cDtwIXAJ8ODOvm6wLlSRJ49fVIzKZ+RfAX2yjfhflowtGqn8deOU2\n6ov52af51msbgJOrL0mS1IW6fURGkiRpRAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZ\nSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLU\nWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZ\nSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLU\nWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWAYZSZLUWFM63YFuFhH9wKXAHOAp4MLMvKizvZIkSS2O\nyGzbBcBBwDHAacCiiJjT0R5JkqSfMsiMICKmAacAp2fmysy8DlgMzO9szyRJUotBZmQHUqbebq1t\nuxmY3ZnuSJKkoQwyI9sHeCQzt9S2PQRMjYiZHeqTJEmqcbHvyKYBm4Zsa73uH0sDvb099Pb2tLVT\nAH19vTy+dnXb25W6yeNrV9PX18uUKc37e6uvr5fHVq/tdDekSfXY6rVd8TvaMzg42NEOdKuI+E3g\nU5n5otq2VwKrgJmZ+VjHOidJkgCnlrZlNbBHRNTfo72BDYYYSZK6g0FmZP8BPA0cWtt2FLCsM92R\nJElDObW0DRHxV8ARwFxgX+AK4MTqVmxJktRhLvbdtvdTnux7I/A48GFDjCRJ3cMRGUmS1FiukZEk\nSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJEkSY1lkJFqImIgIr44zPYTI+KeTvRJ2lFFxN9FxI8jYuow\ntRsi4qZO9EvdxSAjPdvvRMQxw2z3WQXSc+ssYDrwJ/WNETGH8qT193aiU+ouBhnp2e4FPh0RPjBS\n6qDMXAPYOyJ7AAAH4ElEQVR8BDgrIn4RoBqduRC4IDPv6GT/1B38D7X0bB8C/gr4AHD+cDtExIuB\ni4HjgAHg74AFmfn0c9VJaQfxKeBk4C+B3wbOBrYA5wFERD8l2LyT8rt4PfBHrQ/3jYgzgT8C9gL+\nEzgjM299jq9Bk8gRGenZVgN/Bnyo9VdgXUS8APh3YGfK8PZvAb8OLH4O+yjtEDJzK/CHwJyIeBuw\nAHhfZm6qdlkM/BLwK8CxwEzg7wEi4hDgY5QpqACWAlc9pxegSWeQkYb3KeCH1b9DvRXYB3h3Zv53\nZn6L8h/a0yJi2nPXRWnHkJk3UUY9rwa+mpn/BhARPwf8ATAvM5dn5n8BJwJvjogAfhHYCvw4M39M\nWWvzexHR04nr0OQwyEjDyMwB4H3Ar0fE8UPKrwTuzMz1tW23AC8AXv4cdVHa0XwM6KOaUqrsT/m9\nWxYRT0TEE5Q1boPAKyjTTHcA/x0Rt1E+CPgHmenC/ecRg4w0gmoe/W8oozK71Eobh9m9b8i/ktpr\nw5B/oazzHARmAwfWvl4BfDMzn8zMQyhTTt8G5gK3RcRez1mvNekMMtK2nUMJMQtq2xJ4RUTsVtt2\nOPA0cNdz2DdpR/cjytTRHpl5d2beDTwFfALYMyIOj4g/zsxvZeZZlNHU6ZTfVz1PGGSkbcjMRylh\nZr/a5huAu4EvRMRrIuKNlFGbvx0y3SSpvX5mbUtmPg5cAXwmIo6OiAOALwD7ZeZ9lNHTj0TESdXC\n/XcDU4HvP7fd1mQyyEg/61lz55l5OWUNzGD1egBorZtZSlmEeA1l0aGkyTPc2pY/Ar4FfBn4DvAk\n5S5CMnM58PvABylrZRYAv5OZP3ouOqvnRs/goGueJElSMzkiI0mSGssgI0mSGssgI0mSGssgI0mS\nGssgI0mSGssgI0mSGssgI0mSGssgI0mSGssgI0mSGmtKpzsgqZki4lvA0UM2bwYeAr4KfCAzh/uk\n8KHtnAhcnpmjfnJ49Xk591AeVd8zzC6DwEcy89zR2pL0/GCQkTRRg8BVwOk8Eyp+DvgV4JPVtvlj\naOfvgevHeM4fA3vXXn8A+G3g9bU+/L8xtiXpecAgI2l7bMjMh2uv/y9wWUQcAryTMQSZzNxUHTeq\nzBys7xsR/w/YOqQPknYgBhlJk2ET8DRARPwCsBh4IzCDMvX0t5n5x1X9JMrUUm/1egA4BXgXcATw\nGPBXmXneeDoQEQcAHwcOp6wHvAE4KzPvr+o3ATcDvwC8DXgcWAT8APjfwP8AlgO/l5n3VMe8BPgL\n4FjK6NNNwILMXFXVvwC8AJgJHAJ8BNi96sMjwK8Cf52ZZ0XEEcB5wMHV+/XVqq3HIuJaSkB7e9Xu\nQcBtwBmZ+alq25nAezPzVeN5X6TnGxf7SmqbiOiLiF8Hfhe4stp8HbArcBzwCuAvgbMj4viqPlh9\n1V0AXA68CrgE+EhEHDmOfrwU+A6wHjgKeAuwL/DtiJhW2/VM4LvAa4CvAZ+mhJj5wBuAlwAfq9qc\nDtwK7An8GnAYZU3QTRHx4lqbv1W1dQhl6g1KiLsPeB3w6Yg4FLgRWAH8MvAOSmj712r/fwKOiYjW\ndNmbgYGqnZZfA64Z63siPV85IiNpe/xuRPxW7fXOwL2UUYvzI2IqJdD8Q2aurvb5VER8EHgtZRRi\nOFdk5peq78+PiA9Q/kd/8xj7NZ8yknNiZm4BiIi3A3dTRnr+utpvWW2E49PAPOCizLy52vaPlBAE\ncCIwHfitzHysqr+zavN9wIeq/R7OzE+2OhIRUELIoszcUG1bDNyWmWdVu2VEvBu4LSLeRAlCn6WE\nnO9Sgsx1wDHV8btSAlrrnNIOyxEZSdvjOuCXKCMN7wUeBf4NOD8zB6q7lj4NvCEiPhkR/xwR9wM/\nD2zrLqUfDHn9OLDTOPr1GuB7rRADkJlrgB9RAlTLj2rfP1n9e3dt2wagv9bmD1ohpmpzA2XKp97m\nD4fpz5pWiKm8ljJi9FOZuZyyUPm1mfkQsAx4cxUGjwD+HNi1mmZ6E7AuM787zLmkHYojMpK2xxOt\n9SPAXRGxhhJktgDzq2mcmyhh4Grgb4DvMfrIyqZhtg13u/VIRtq3l2rtTuXpYfYZmECb9f5uGGaf\nodvG0r+vUtbUfBf4SWauiIjllPU5r6RMP0k7PEdkJLVNZn4LuBB4X0T8CmVa5nXAMZn5kcz8R8qo\nw16ML5iM138CvxwRP/1jLSJeBOwPrNqONl8VETNqbU6jLNYdb5v/CfzMmp+IOBiYBvx3temfgEOB\nE4BvVtv+jbLW6K2U0TBph2eQkdRuCylTNpdR7tQB+L2I+IVqwe61lNHg/hGOb4dLKXdIXRkRr4mI\n2ZSFt6uBf5xgm1+krLv5h4g4OCIOBP6WMuX1uXG2dRHw+oi4OIo3UtYSfQ/4FkBmfr/q71yeCTLf\npKyXmU4JNdIOzyAjqa2q58LMo9zWPAd4P+WheXdQ7kT6FvAlyl09wxl6B9NI27bVh7spC2P3BJYC\n/0y5a+iozHxiIuep1sa8AXiCcsfRtynrfI7IzAfG2b9bKKMqh1LuXPo7yvvylsysT239E+V27hur\n198BNgJfr95naYfXMzg4rv8+SJIkdQ1HZCRJUmMZZCRJUmMZZCRJUmMZZCRJUmMZZCRJUmMZZCRJ\nUmMZZCRJUmMZZCRJUmMZZCRJUmMZZCRJUmMZZCRJUmP9f5Brtods9v65AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x121f63358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_sb = sb.countplot(Y, label='Total')\n",
    "Rain, NotRain = Y.value_counts()\n",
    "print('Rain: ',Rain)\n",
    "print('Not Rain : ',NotRain)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.5 Changing boolen values and handling NaN values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "X = X.replace({'No':0, 'Yes':1})\n",
    "X = X.fillna(0)\n",
    "Y = Y.replace({'No':0, 'Yes':1})\n",
    "Y = Y.fillna(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.5 Scaling data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MinTemp</th>\n",
       "      <th>MaxTemp</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>Humidity9am</th>\n",
       "      <th>Humidity3pm</th>\n",
       "      <th>Pressure9am</th>\n",
       "      <th>Pressure3pm</th>\n",
       "      <th>Temp9am</th>\n",
       "      <th>Temp3pm</th>\n",
       "      <th>RainToday</th>\n",
       "      <th>RISK_MM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.205232</td>\n",
       "      <td>-0.016205</td>\n",
       "      <td>-0.203580</td>\n",
       "      <td>0.160852</td>\n",
       "      <td>-1.251086</td>\n",
       "      <td>0.307740</td>\n",
       "      <td>0.312969</td>\n",
       "      <td>0.017246</td>\n",
       "      <td>0.085732</td>\n",
       "      <td>-0.529794</td>\n",
       "      <td>-0.275065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.720310</td>\n",
       "      <td>0.280779</td>\n",
       "      <td>-0.275096</td>\n",
       "      <td>-1.125606</td>\n",
       "      <td>-1.116764</td>\n",
       "      <td>0.317090</td>\n",
       "      <td>0.315234</td>\n",
       "      <td>0.061940</td>\n",
       "      <td>0.413154</td>\n",
       "      <td>-0.529794</td>\n",
       "      <td>-0.275065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.128103</td>\n",
       "      <td>0.361775</td>\n",
       "      <td>-0.275096</td>\n",
       "      <td>-1.411485</td>\n",
       "      <td>-0.892894</td>\n",
       "      <td>0.307418</td>\n",
       "      <td>0.318146</td>\n",
       "      <td>0.628054</td>\n",
       "      <td>0.269088</td>\n",
       "      <td>-0.529794</td>\n",
       "      <td>-0.275065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.442647</td>\n",
       "      <td>0.672258</td>\n",
       "      <td>-0.275096</td>\n",
       "      <td>-1.077959</td>\n",
       "      <td>-1.519731</td>\n",
       "      <td>0.339660</td>\n",
       "      <td>0.331411</td>\n",
       "      <td>0.196019</td>\n",
       "      <td>0.701286</td>\n",
       "      <td>-0.529794</td>\n",
       "      <td>-0.155868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.837685</td>\n",
       "      <td>1.252727</td>\n",
       "      <td>-0.155903</td>\n",
       "      <td>0.684964</td>\n",
       "      <td>-0.758571</td>\n",
       "      <td>0.317735</td>\n",
       "      <td>0.309410</td>\n",
       "      <td>0.151326</td>\n",
       "      <td>1.120387</td>\n",
       "      <td>-0.529794</td>\n",
       "      <td>-0.251226</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    MinTemp   MaxTemp  Rainfall  Humidity9am  Humidity3pm  Pressure9am  \\\n",
       "0  0.205232 -0.016205 -0.203580     0.160852    -1.251086     0.307740   \n",
       "1 -0.720310  0.280779 -0.275096    -1.125606    -1.116764     0.317090   \n",
       "2  0.128103  0.361775 -0.275096    -1.411485    -0.892894     0.307418   \n",
       "3 -0.442647  0.672258 -0.275096    -1.077959    -1.519731     0.339660   \n",
       "4  0.837685  1.252727 -0.155903     0.684964    -0.758571     0.317735   \n",
       "\n",
       "   Pressure3pm   Temp9am   Temp3pm  RainToday   RISK_MM  \n",
       "0     0.312969  0.017246  0.085732  -0.529794 -0.275065  \n",
       "1     0.315234  0.061940  0.413154  -0.529794 -0.275065  \n",
       "2     0.318146  0.628054  0.269088  -0.529794 -0.275065  \n",
       "3     0.331411  0.196019  0.701286  -0.529794 -0.155868  \n",
       "4     0.309410  0.151326  1.120387  -0.529794 -0.251226  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_scaled = (X - X.mean()) / (X.std())\n",
    "X_scaled.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Data Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 Preparing data to plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RainTomorrow</th>\n",
       "      <th>Features</th>\n",
       "      <th>Values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>MinTemp</td>\n",
       "      <td>0.205232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>MinTemp</td>\n",
       "      <td>-0.720310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>MinTemp</td>\n",
       "      <td>0.128103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>MinTemp</td>\n",
       "      <td>-0.442647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>MinTemp</td>\n",
       "      <td>0.837685</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   RainTomorrow Features    Values\n",
       "0           0.0  MinTemp  0.205232\n",
       "1           0.0  MinTemp -0.720310\n",
       "2           0.0  MinTemp  0.128103\n",
       "3           0.0  MinTemp -0.442647\n",
       "4           0.0  MinTemp  0.837685"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Concatenate the target frame with just 20 columns from corpus_scaled\n",
    "#X_plot = pd.concat([Y, X_scaled], axis=1) \n",
    "X_plot = pd.concat([Y, X_scaled.iloc[:,0:20]], axis=1) \n",
    "\n",
    "# Reshaping the frame\n",
    "X_plot = pd.melt(X_plot, id_vars=\"RainTomorrow\", var_name=\"Features\", value_name='Values')\n",
    "X_plot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Violin Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10]),\n",
       " <a list of 11 Text xticklabel objects>)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1EAAAOTCAYAAABepYkVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkRooiRIREREREamBkigREREREZEa/D/22cVxe+uwDQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f015198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setting the plt object# Setti \n",
    "plt.figure(figsize=(10,10))\n",
    "# Setting the violinplot objetc with respecitve atributes\n",
    "sb.violinplot(x=\"Features\", y=\"Values\", hue=\"RainTomorrow\", data=X_plot, split=True, inner=\"quart\")\n",
    "# Rotation of x ticks\n",
    "plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Join Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Fer/anaconda3/lib/python3.5/site-packages/statsmodels/nonparametric/kdetools.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  y = X[:m/2+1] + np.r_[0,X[m/2+1:],0]*1j\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x11f0279b0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkoAAAJPCAYAAACD7vsqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzs3Xd8FHX+x/HXzLb0SkLvCDbArqAIiAV7OU89PdTz1Du9\nU393Z++KYkPPftazn71XmigKCIiKAoKU0EtC2vbZ3Znv749JlmySBQIhm/J5Ph48kszszn52k7Dv\nfKumlEIIIYQQQjSkp7oAIYQQQojWSoKSEEIIIUQSEpSEEEIIIZKQoCSEEEIIkYQEJSGEEEKIJCQo\nCSGEEEIkIUFJCCGEECIJCUpCCCGEEEk4U11AS1BKqYqKAJbVthbX1HWNgoJM2mLtIPWnmtSfWlJ/\narXl+nVdo7AwS0t1HcLWIVqUNE1D19vez5yua222dpD6U03qTy2pP7Xacv1tseb2rEMEJSGEEEKI\nnSFBSQghhBAiCQlKQgghhBBJSFASQgghhEhCgpIQQgghRBIdYnkAIdoyy7KoqKho9FxBQQG6Ln/v\nCCHE7iJBSYhWrqKigg2vv0puRkbC8epgEP7wRzp16pSiyoQQov2ToCREG5CbkUFhdnaqyxBCiA5H\ngpIQLWhb3WggXWlCCNHaSFASogUl60aD7XSlWRZWKASWBUqhOZ2gGt+WoTaMOZ0asViQqqoAsdjW\n20oYE0KIHSdBSYgWlrQbTSmsDesJzv6W6PJlRFeuILZ6FbGyUvTqKrz1bq5rGuHnn2Zzz544e/XG\n2acf7sFD8ffoycbPPqEgKxMzw00oGMGs2etKxjUJIUTTSFASIoVUOEx0xTKiS35FX7mCyEP30VjH\nXGM7P2lKQXUV0eoqogt/STiXn5+Pu1cfPP374u7cDYo6o0krkhBCNJkEJSFammURXfYbkR++J/rb\nEjBNIDEMadnZuPoNwNm3H0ZWNtF1a8nMzbPDjq6holECVVW4evTEXb6F2JrVRFcuB8Ow719ZSaSy\nksiCH+0Luj04e/RE69wFs0cPrCNGomdmtvATF0KItkeCkhAtxAoGib31OvpLzxPwJXakaVlZmH36\n4Tn5NApHjsbRsxeaZkenLVu2EPnwPTz1uuv8Ph+uU8+gsKYbTUWjRH9bQsXMb4lM+gzn5o1YtQPH\nIwaxlcvRVy4nOvtbNjgcuAbthWf/A3EfcCDu/Q/E2aXr7n8RhBCijZGgJMRuZoVC+F95Af+Lz2NV\nVcZbjrSMDNxD9se172Ac3bqzxeej+tBhODIyobw8fv+KinLcjQzctgdtlyce7NwV76ijcOs6+Xm5\neKwIvqXLiaxeRWzNGmIb16OZJpgm0cULiS5eCK+9BICjW3fSxxxD+gmn4B4yFE3TZLFLIUSHJ0FJ\niF2wrSCRn5dH+NOP8D7yIOamjfHjqktXMkeMxDVoL3v2Wo3qYJDw++/iqTfQelNZGZ0yMiAnJ+H4\ndm+fl4sjOxv3XnvjGLQXAOWVlaTvMZC0lcuJ/DifyI8/YFVVAmBuWI//lRfxv/Iijp69yTrrHMIj\nx7Dx809ksUshRIclQUmIXZBsur9v/TqMhT+jFv4cP+Y++FDUuecTXrsGd73QUysnPb3BjLhKvz/p\n4zf19pauU9WjJwVD9oPTzsSlFGrNaqxfFuD8aT7hr6eDYWCuXU31g/fBow+RN3AQuSPH4CguTnpd\nIYRoryQoCbGL6k73V6aJMetb9K+moWoGaTv79CX36htIGz2G8vJyWLc2ZbUma4WqDgbpdvOddLvL\nQ2jaFAJvv0Hkh+8hGkVftBDfooW49twLzxEjcfbomaLqhRCi5UlQEqKZWD4fwXffJLaqBA1QTieu\niy7Fcc4fCTidBMrLk443akmNtULFxzsVFMLhR6IffiTuFcsJvP4KzmmT0UyT6JJfiS75FWfffnDg\nIagUPw8hhGgJEpSEaAaxVSUE3nkDVdPtFS3uTPmwIyjKzoFPP4rfLtl4o1RL1tK0tks3is69gE4r\nlmF8PwciEWIlK3GUrCSycAHBv/6d9KOPkzWahBDtlgQlIXaRtvBn/JO/AGUB4Dl8BFv2HkyGw9Gk\n8UOplmy8k9I00o8di2fESCLzvsP4bhYqGEQt+ZWK//sbzr79yP7zX8g46VQ0tztF1QshxO4hfwYK\nsZOUUsRefA590md2SPJ4yDznPNKPGQvtsIVFT08n7cjR5PzfNVijj4bOXQCIlayk8ubr2DR2NL7/\nPotVXZ3iSoUQovlIi5IQO0FZFlV33kLsrdcB0HJyyfrjBTiKO6e4st1Pc7tRBxyE55Y7yZgzC9+z\nTxFbuRxz00aqJ96D94mH0Y87Acfvzkbv3SfhvrL2khCirZGgJEQTKdOk8pbrCX7wrv11URE54/6E\nnpOb4spaluZ0knnqGWScfBrh6dPwvfAMkR/mo0IhzA/exfzgXVSfflgHHAh9+lEdCsnaS0KINkeC\nkhBNoGIxKm74F6FPPwZA23cI5qijOlxIarAq+ND90R/+D+6lvxJ87WUcM6ajWRbaqpU4Vq1Ezy8g\nb8hQlLcaJCgJIdoQCUpC7CAVjVJxzf8Rmvw5YC8gqY2/j9iUL1JcWctLNksOYE2vPhSddyGd1pQQ\n+X4uKhDAqqxA/3o6xuxZVJx0ClnnjsO9974pqFwIIZpGgpIQO0BFDMr/cQXh6VMB8Aw7nMLHn6Ei\nEEhxZanT2Cw5qDNTbvTRpI0YRXTxQoy5czDXrYGIQfC9twm+9zae4UeQ89e/4znokBRUL4QQO0aC\nkhDbYYXDlF/xV8LffA1A2oiRFD76FJrHAx04KO0IzenEPWQ/3EP2o3z5MtyVFVjTJqPCYYxZ31I2\n61vcBx0Cf7oUffCQhPs6nRqxWBBdT0tR9UIIIUFJiG0yAwFKL72I8HezANCPOBJ1292U+3zg87WK\nlbbbCquoGN+ZZ5N/2RWY771N7O03wOcl8v1c+H4uqv8ArCNGQqciABy6RgUxCk4/i7y8whRXL4To\nqCQoCVHDHqBcEf/aYQTYcN2/iPzwAwCRfgNwHHQo0c8/id+mta603RoljGvKL4AL/4z24w+oubNx\nRCJoK5bjWLEC15ChpI0eg7uwkKBppLpsIUQHJ0FJiBoVFRVseP1VcjMyIBzG8d6bsHEjAL5+/VFH\nH0evvLyE+7TmlbZbo8RxTdlw9LGsGLAHWQt+xPPLzxCLEv35J6ILfyHt4EPgiOEprVcIISQoCVFH\nbkYG+bpO4N03MTfZIclz4EFsOeAQ3LJQ4m6hPGkYhw6naPTRhGdMJzL/e7BMwnNmww/f4yqrwLz0\nchwF0v0mhGh58j+/EHUF/PhffC4ekrIOP5zMk09rl1uStDZ6Tg4ZJ51K9t+vwrVvzcDuaJToyy+w\n6egRVN51G7G1a1JbpBCiw5EWJSFqWOvXob/+KlZ1FQBph48g7/RTCQUjKa6sY3EUdiLzzLNRI47E\nN3US1rJlqHCYwP9eIfDGa6SPPYGsiy7FV9yl0fvLNilCiOYkQUkIILJ4EZG/XYxWE5I8I48i46gx\naJqW4so6LmfXbnjOPRf6D0J7602Cn38Cpknos08IffYJkb79cIw8Cgq3LnpZHQzKNilCiGYlf3aJ\nDi889zvKLvwDVFSggPTjTyJ9tISk1sCyLKoLCrCuvQn3/97F8buzwOMBwF2yEsdLz5M+fSr5TieF\n2dn2QHwhhGhG0qIkOrTQlC8ov+b/IBIBpxN13Al4Dj401WWJGlWBAFXvvoOjoKaFqE8/uOgv+L6e\nTu7SxWimSeSH74kuX0bGab+DouLUFiyEaHekRUl0WP6336D8H3+HSAQtPQPXvQ+h9tw71WWJemqX\nFIj/69yZ2IiR+M8Zh2vwUACUt5rAy/9F++pLVCyW4oqFEO2JBCXR4ZimyaZ/P0DVbTeCZUFuLq5/\nP0H1gD1Qssp2m6Gys8n83VlknHUuWrrd5abPn0v0hn9h+bwprk4I0V5IUBIdirIsSm+/mdiz/7G/\nzs7BPP0sQsuWsum9dwgGgymuUDSVe+99yL78Shy9+wJgzZlN6XlnEVu/LsWVCSHaAwlKot2yLIst\nW7bE/5WtX8fGK/6K+e6bAOidisi9+K8U9ulDYXY2OenpKa5Y7Cw9O5uscRdi1ay/FFv+G6Xnnkn0\ntyUprkwI0dbJYG7RbiVsSRIMon/wLtrG9QDEOneh4II/o8ssqXZDczpRxx6P84gjiT31OFZZKaXn\nn0OnJ57Fc+DBqS5PCNFGSYuSaNdyMzLIM8K43ng1HpKMPv0InnSahKT2SNNwnns++fdMBIcD5fVS\ndvH5hKZPS3VlQog2SoKSaN/WrsH/3NNYlRUAeIYdge+YseBypbgwsTtYlkVFRTmhw4/ENeEBe80l\nw6D8yr/if/+dVJcnhGiDpOtNtFvmpM/Q33kDZVmgaaSfcLK9RtLGjakuTewm1cEg4fffxVO7Mvfp\nv0d//200w6DqpmtRFRVkXXSJLCYqhNhhEpREu6OiUaofuIfoqy+iAbjdZP7+HFx7DEp1aaIF1K67\nBMCee2Fe9Be8L/8XLeCn+sF78f+2FOc/rkFzbv3vT/aHE0IkI0FJpITdRVLR6LldedMySzdT/s+/\nE/lhPmBP/88573wcXbrudK2ibXN07kzlqWeQ/elHuKqrMD9+n9iCH7FOPg3S0mR/OCHENklQEimR\nMCOtjl150wp9PZ3KG6+Jj0fSDzqE6MGH4ejcuVlqFm2XlZ1D6IyzSP96GrGVK9DWrML1v5fJ+P05\nkJ2T6vKEEK2YtDWLlMnNyEjcmmInNzVVEYOqe+6k/LI/x0NS9iWX4XrgEZCZbaKWx0PmeRfgrlkq\nwKqswP/802g//SArsgshkpIWJdGmRUtWUv6vK4gt+dU+UFCA68bbiR5yGJUV5bjlDVDUoTkcZJx8\nGo4ePQl9+jHEoujTJhP1VhO76z6cPXulukQhRCsjLUqiTVJKEXj3TUrPPDkeklSffphnnUd44wYC\nH74nW5KIpDz7H0j2JZehdyoCwJo3h82njsX71ONYAX+KqxNCtCbSoiTahLqDv9XmzUQnTsCaM9v+\n2unEOnwEBSOPQqszCLzSL294IjlH585k/+VvVE6ZhD5/LiocxvvoQ/hefJ7scReSee44HPkFqS5T\nCJFiEpREm1BRUcGGV18ib9lStJkz0CIRAFR+AeuHjyCnZy8KZXq3aCLN5UKNGIn7sivQ/vMoxtzv\nUN5qvE88gvfpJ9APG45j7Inohw5H83ji95PlBIToOCQoiZRQSsGaVRiRKHpGBlpGBo7OXRq/bSyG\n+dWX5L/9P7TKSvugpuEZdgRpo8dQvmVLC1Yu2hvLsqjKz6dg4qO4f/qB2CsvYM2bA7EY1rczsL6d\ngXJ7UAMGoAbuRXVxZ/jjBbKcgBAdhAQl0eKiy34jevtNOH6cT6juCYcDvXtPYtVV+Lt0AaeL6KKF\nhKZNxqoop3YtZUfXbqSfeArOHj1TUL1obxqs5n3kaNh7X3zfzyWnZCV6MIAWMdAWL4LFi8j3eIiu\nW4Nx9rm4DzpEVvkWop2ToCRalPfpJ/A+/jCYZsOTpom2ZhWx556iqpH7quwcMo8Zi2vfwQljkYTY\nVQmreQNkZ1OZlo7/8CPpGg4RXfQL0cWLUKEgmmFgfvYxZZ99jGvgIDLPu4DMU09Hc3uSP4AQos2S\noCRajP/tN/A+8qD9hduDddDB5A0fgTIMLG81sZIVhJcuQdtSFg9SWnY26aOPJjrsCMKbNuLOz0/h\nMxAdjq7j6tcfV7/+qBNOJlayEt+P89FKVqIFA0R/W0rVbTdS9cQjOC+8mKJzx+Fwu1NdtRCiGUlQ\nEi0iPGc2VeNvBcDRsxeOBx4hNG8OelYWZGXhKCzE1bcf/gMPITpyNPm5eRCNgsuF5XBQXVGOu6w0\nxc9CdGSaw4FrwB5UZGZhDD2ArmWb0X6cbwf70s3E7r+bTW+8SuGt40kbfkSqyxVCNBMJSmK3i64q\nofyqyyEWQ8vKotMTz1Kd13jLUIPxIjU2lZXRKSMDcmS7CZF62Tk5FAwciBp+BNElvxKePhWrdDNq\nzWq2XHw++phjSbvqH8QG9KaqKkAspmSmnBBtlAQlsVuZfj+ll1+K8laDrlP40OO4BuwB25ip1mC8\nCLImkmidNE3DvdfeuAbtybpvviZj9rc4wmGsaZMJzpxB7JRTiPTuT4U/IBvvCtFGyZ83YrdRSrHm\nyiuJLl8GQO51N5F2xJEprkqI5qfpOsbAPQn8YRzugw4BNAiHibz1Fp5pU8h1yt+kQrRVEpTEbuN9\n7mmqPv4YgIyTTyPrjxemtiAhdjdPGhknnUrmBReh13QTGz98j/7KC1iLF6W4OCHEzpCgJHaLwEcf\nUPng/QC49tyLvNvvlvVmRIfh6tuP3MuvJH3oUAC0qkoif7sY71OPoxpbGkMI0WpJUBLNzv/ay1Re\n/0+wLPTcXFzjJ1ARCLBly5b4v4qKcnt1biHaKT0jg8Jx48g8/UyUyw2miffRhyj703nENm5IdXlC\niB0kHeei2SjDwPvko/ie/Q8AWmEhxsknY82di2klhiKZxSY6Ak3TSNv/AKry8tFnfYNj6RIi389l\n02kn4LrmBhyjxshsOCFaOQlKYpeZpsmWTz4i9vi/UevX2Qe7dMW4825y1paQ6UpvEJRkFpvoSKrd\nHsKHDKdbXgHanFloPi/RW2/AP2AP1EOPUzRgj1SXKIRIQv6METvN8nrxv/4Km844kegN/4qHJNW9\nB+Ypp7Nx1iwCwWCKqxSidcjJzKTg+BPJvvBitJxcADzLl2Gcfw6B999BWVaKKxRCNEZalESTmFvK\nCH/9JaFpUwjP+hYikfg5LTuH9GPH4tp3CJqm4d28KYWVCtE6Ofv0JefyKwlN+YLI/HlQVUnlTdfi\nf+VFcq+5Ac9hw2XigxCtiAQlsU1mVSWRn37A+H4e4ZnfEFv6a4PbWH37ofr2p+Cw4Wiyz5UQ26Wl\npZFx8mkEe/dFnzsbfd1aoksWs+XP49D23Bvn78+h0xln4vCkpbpUITo8CUoCAGWaxNauJvrbUqK/\nLSWwaCFqxTLUurWN3z4/HzVgIGrQXqzWHXTKyKBQQpIQTVJVVEx49DF027AObdY3aKEQasliouNv\nZeOjD5J5zFjSjzsBz8GHoLk9qS5XiA5JglIHoqJRYuvXYa5dQ3TNKvzLfkOtX4/asA61fj1EjOT3\ndbkIFXdG792Xov0PQO9UFO8eqNy4saWeghDtTk5mJgUjRqIOOcxuvf1uFlZlBVRXE3jnTQLvvImW\nloZ7vwPwHHworn0G495nXxyFsh2KEC1BglIbpiwLFQxg+f2oQM1Hvw+rohyztBRzSymxzZsxNqyH\n0s2o0s2wAwNGLYcDVVBIWrfuOLt1x9GzF47OXSgvLcWtaTiKilvg2QnRsWgeD55Dh+E++FDKf/4J\nqqtwzpsDfj8qHMb4bhbGd7Pit9cLC3H27I2zZy8cPXvh7NUHZ48e6AUFOPIK0HJy0GTZASF2mQSl\nZhCaOglj/vegLFAKFKCUvaBi/Jjaeg5lz3Cpexz7PlgWKhZDRSJo0QhblEk0EMKKGBCJYEUimIEA\nBAIQDOxS3VZGBq7CIvs/1oIC9KLOODp3piRs4HY4KOzSZVdfGiFEE2m6TlXnroRz8+k6ZH9YtxZt\n7Rq0tath8ya0mj92rPJyIuXlRH76ofEL6Trk5KLl5OLMzkbzeNDS0uyPnjQ0pxM0zf5XG6hqPtc0\nDU3X8aW5iERNLFVzTrPP2Z/XHNvmk9neoPTk5/XCQrLOPhc9W9ZaE6klQWkXmVvKKL/q8q1hp5VQ\nmoaVkYnhcaNlZuMpKIS8XFRuPuTlsSYaw+V207WR3cy91V7cmka5z5d4PBRq8nFFDIfubrCO0s5c\nq7HjzXmt+scdukbQNAgFI7vtMXb386itv/b1b0vPw6FreEMhrHCUtDZQ7+74+cHphD59UX36ooDV\nmzZB6SaKjDCOqioc3mocXi8ObzVaLJb4xCwLqipRVZVEGzzrHZPq1c40TSf7z5emuArR0WmyjYQQ\nQgghROOkA1sIIYQQIgkJSkIIIYQQSUhQEkIIIYRIQoKSEEIIIUQSEpSEEEIIIZKQoCSEEEIIkYQE\nJSGEEEKIJCQoCSGEEEIkIUFJCCGEECIJCUpCCCGEEElIUBJCCCGESEKCkhBCCCFEEhKUhBBCCCGS\nkKAkhBBCCJGEM9UFtASllKqoCGBZKtWlNImuaxQUZNIWawepP9Wk/tSS+lOrLdev6xqFhVnazt6/\nrMzXtp5wChUVZW/3de4QLUqapqHrO/0zlzK6rrXZ2kHqTzWpP7Wk/tRqy/W3xZrbsw4RlIQQQggh\ndoYEJSGEEEKIJCQoCSGEEEIkIUFJCCGEECIJCUpCCCGEEElIUBJCCCGESEKCkhBCCCFEEhKUhBBC\nCCGSkKAkhBBCCJGEBCUhhBBCiCQkKAkhhBBCJNEhNsUVQgiROvPmzeGxxx5iw4b17LPPEK677ia6\ndeve4HY//jifK6/8K5qmoZRK+PjOOx9TXNyZNWtW8fDDE1m06Bdyc/M4+eTTGDfuTyl4Vg1t3LiB\n++67i0WLfqFLl65ceeU/Ofjgw1JdlthF0qIkhBBit9m8eRM33ngNJ510Ks899wp5ebnccMPVjd52\n8OChfPTRJD788Iv4x6FD9+fII0dRXNwZwwhz9dVXUVzcmeeee4V//vM63nrrdd5//50WflaNu+GG\nq+nUqYjnn3+FY489gRtvvIbS0s2pLkvsIglKQgghdptPPvmQvfbam7POOpc+ffpy4423sWnTBn76\n6YcGt3U6neTnF8T/ff/9XFauXMG1194MwE8//YjP5+Pqq2+gZ89eHHbYcM4661ymTPmipZ9WA/Pn\nz2PDhvVcc82N9OrVh3HjLmSffQbz6acfpbo0sYuk600IIXbRpk0b+f3vT+HWW8fz5JOPEg6HOeGE\nE7n99lvjt/n66+k8++x/2LRpA/36DeDyy69kv/0OACAYDPDwwxOZPXsmfr+Pbt2689e//p0RI0YB\nMGLEwVx44cW8//7bDB48lPHj7+PBB+/lm2++wjAiHHjgQVx99Q106lQEwMyZ3/D880+zenUJ3bp1\n5+KLL2PkyNEAXHHFXzj44EP56acfWbDgB4qLO/OPf1zLIYcc1uCxDjzwQO6++4GE5zphwh18/vkn\nDV6DLl268fbbHzY4vmjRLwwdun/8a48njYED92Thwp/jz78xsViM5557igsuuIicnBwABg4cxD33\nTMTpTHzrCgT8Cd+Hxx57moMOOqjBNa+44i8ccMBBzJs3h99+W8Kee+7Ntdfawaa+zz//hAkT7oh3\n/9XSNI233vqILl26JNx+8eKFDBw4CI/HEz82ZMh+LFz4S9LnKNoGCUpCCNFMXnzxOcaPv5doNMr4\n8bdSUJDHBRdcwrJlvzFhwu1ce+1N7Lnn3nz33UyuueYqXnzxdbp378HDD09k3bq1PPzwk6SlpfHa\nay9x3313M2zYEfFQMHPmNzz11AuYpsl7773FggU/8u9/P4nH4+HBB+/lscce4o477mH+/HncfPO1\n/O1vV3HYYYczc+YMbrvtBp555kUGDtwTgFdeeYF//et6rr76ep566nHuv/9u3nnn4/jzmDnzG559\n9kUyM90NnuP//d/VXHbZFQ2O63rjHRTl5VviAa5WQUEBZWWl23wtv/xyCoGAn9NP/338WG1LUy3D\nMPj44/cZMWIkAMXFnfnoo0lkZ+ckve6rr77IZZddwfXX38zzzz/D1Vdfxf/+926D8DVmzLEcdtjw\nRq+Rl5ffhOcpXW9tnXS9CSFEM7n88qvYd98h7L//gVx66WW8/fbbALzxxquccsoZjBlzLN279+B3\nvzubQw8dxgcfvAvA/vsfyDXX3Ej//gPo3r0H55xzHl5vNZWVFfFrn3ba7+jRoye9e/dh48aNeDwe\nOnfuQq9evbnxxtv44x8vBOC9995i9OijOfPMc+jRoydnn30eI0cexeuvvxq/1rBhRzB27Il069ad\nCy74M6Wlmykv35LwWD179qJ///4NnmNGRmZC91jtv9zcvEZfk3A4jNudGLhcLjeRSHSbr+VHH73P\nySef3uC+tZRS3H337YRCofhz13Wd/PyCBqGnrsMOG86ZZ55Dr159uO66m6mqqmLevO8a3M7tdjf6\nPPPzC9A0rdmep2j9pEVJCCGagaZpDB48JP71XnvtTUVFBdXVVaxevYrp06fGgxGAacY49NBhAIwd\neyIzZnzFhx++x5o1q1i69Nea21jx23fp0jX++SmnnM60aZM59dTj2H//AznyyFEcf/zJAKxevYrT\nTvtdQm2DBw/hs8+2thj16NEz/nlmZiZgd3U19lj1TZx4D5Mmfd7geNeuXXn55TcbHHe73UQikYRj\n0Whkm60+lZWV/PzzT/zrX9c3et40Te666zZmz57Jww8/mdDKtD2DBw+Nf56RkUHPnr1YtWoVw4Yd\nkXC7yZO/4IEHJjS4v6ZpvPrqWxQXd0447na78Xq9Ccei0QhpaWk7XJtonSQoCSFEM6nbkmFZdsjR\nNB3TjHHeeRcwduyJCbf3eOw30fHjb2XRol847rgTOP30Myko6MRll12UcNu6rRV9+/bj7bc/Yvbs\nb5k161uefvpJpk6dzOOPP9NoC4xlWQmhy+VyJZxXSlFnGE7SVhyAiy++jD/8Ydw2n3tdRUXFVFSU\nJxwrLy9njz0GJX2MuXNn061bd/r27dfgXCwW49Zbb+D77+cyceKj7LPPvkmv05j6dVqWia43bCEa\nMWJk0mvX72ID+3muWlWScKy8vJzCwk5Nqk+0PhKUhBCiGSilWLbst/jA5cWLF1FcXExOTg69evVm\n48YNdO/eI377J598hF69+nDUUUczdeoknn32ZQYNsscQzZ79be1VG32sL774FJfLzZgxxzBq1BgW\nLVrIZZddRGVlJT179mbRooWceebW2y9c+Au9evVOWntjXUnJ5OXlkZfXeDdbY/bZZzA///xT/Otw\nOMyyZUv585//kvQ+ixcvTGj5qev+++9m/vy5PPTQY+y775BGb7Mty5b9Fv/c7/ezbt06+vffo8Ht\n0tPTE75NOi/vAAAgAElEQVRf27PPPoN57bWXiEQi8aD5888LGDp0vybXKFoXGaMkhBDN5JFHJrJk\nya/MmzeH5557ivPOOw+As846j2nTJvPOO2+wfv063nrrf7z11uv06tUbt9tDeno6X301jU2bNjJn\nzmz+/W97pln9LqtagYCfRx+dGJ+SPnnyZxQVFZOXl8fZZ5/LV19N4+2332DdurW8+eZrzJgxnTPO\n+H2j1wISZnU1txNPPIVfflnAa6+9REnJSiZMuIPu3Xuw//4HAhAKhaiqqkq4z8qVK+jTp2+Da82b\n9x2ff/4Jf//7P+jWrTsVFeVUVJTH729ZFhUV5QndiPVNmTKJL774lFWrSrj33jvp1q0bBxzQcIZc\nU+233wEUF3fm7rtvp6RkJa+88iJLlizipJNO3eVri9SSoCSEEM3kqKOO4dpr/48777yFU089g0sv\nvRSAffbZl5tvvpP333+HcePO5uOPP+COOyYwZMh+OJ1ObrllPNOnT2PcuLN44omHufDCiyks7MSy\nZUuBhi0+Z5xxFscffzJ33XUb48adxfLly7j33ofQNI2997Yf64MP3uH888/h888/Zfz4e+PBpLHW\no7rHmtK6tCO6dOnK3Xc/wKeffsSll16A3+9jwoSJ8fOvv/4Kl1xyQcJ9KisrGx3D9PXX09E0jQce\nmMBppx0f/1d7/9LSzZx66lgWLvw5aT3HHjuWDz98j0suOR/DMHjggUeSzthrCl3XueeeB6moKOfi\ni8cxdeoX3HPPgw3GMom2R9udf0m0IqqyMkAsZm3/lq2I06mTn59JW6wdpP5Uk/pbzqZNGznrrFMT\n1tdpS/U3pq3W//zzTzNs2OEMGTKkQf216yj96U+XpLjKbat57Xc6sZaV+TrEG3tzKCrK3u7rLC1K\nQgjRDDrIH52tWjAY4Icfvo+vFyVEc5DB3EII0Qyau8tKNF1GRiaPPvoUDoej0fPyPRI7Q4KSEELs\noi5dujJjxtxUlyEgaUgCePTRp1qwEtFeSNebEEIIIUQSEpSEEEIIIZKQoCSEEEIIkYQEJSGEEEKI\nJCQoCSGEEEIkIUFJCCGEECIJCUpCCCGEEElIUBJCCCGESEKCkhBCCCFEEm0qKA0aNOjTQYMG/TfV\ndQghhBCiY2gzQWnQoEHnAMenug4hhBBCdBxtIigNGjQoH7gfkM2UhBBCCNFi2sqmuBOBl4HuqS5E\nCCGEEB1Hq29RGjRo0FHACGB8qmsRQgghRMfSqluUBg0a5AGeAi5funSpMWjQoJ2+lsPR6jNhA7U1\nt8XaQepPNak/taT+1GrL9e9qzbquoetaM1UjWnVQAm4H5i1dunTqrl4oJyd916tJkbZcO0j9qSb1\np5bUn1ptvf6dUVCQiaZJUGoumlIq1TUkNWjQoJVAZ8CqOeSp+RheunRpThMupbzeEKZpbf+WrYjD\noZOTk05brB2k/lST+lNL6k+ttlx/Te07nXTKy/1KWpR2TH5+5nZfqNbeojQScNX5+n5AAdc29UKm\naRGLta1fllptuXaQ+lNN6k8tqT+12nr9O8OyFJbVehtB2ppWHZSWLl26tu7XgwYN8gFq6dKlJSkq\nSQghhBAdSNsb5SaEEEII0UJadYtSfUuXLv1TqmsQQgghRMchLUpCCCGEEElIUBJCCCGESEKCkhBC\nCCFEEhKUhBBCCCGSkKAkhBBCCJGEBCUhhBBCiCQkKAkhhBBCJCFBSQghhGhHSi/4A7H161NdRrsh\nQUkIIYRoRyLz5hCa/Hmqy2g3JCgJIYQQrUh43pxdvoaKGM1QiQAJSkIIIUSrYFaUU371lWw672w0\nTdu1LcZUMxUlJCgJIYQQqaSUIvj5p2w+ZSyhzz4B4NL09H1SXJao0aY2xRVCCCHaE7OsjKq7biU0\nZVLC8c4Oh7VrV5YmpeYiLUpCCCFEC1NKEfjoAzafclyDkER6Bi8Eg0t38QF26e5iKwlKQgghRAsy\nN2+i/G+XUHn9P7GqqxLOOQ45jB6fT2GtaUZ26UEkKDUb6XoTQgghWoBSiuB7b1N1/90ony/xZGYW\n2dfeSM6ZZ+N0OVJToGiUBCUhhBBiN4ttWE/l7TdhfDujwTnn4SMouvt+HMWdm+8BpUWp2UhQEkII\nIXYTpRSBt16neuK9qIA/8WR2Drk33kbWKaehaVqzP65oHhKUhBCimSnDIDDta4xNa4l16Yn7iJFo\nHk+qyxItLLZuLZW3XI8xZ3aDc86Roykafy+OTkW758ElKDUbCUpCCNGMlGFQecv1xFatxOHQMU0L\n56TPyR9/r4SlDkJZFoH/vUL1v+9HhUKJJ3PzyLvlTrJOOCk1xYkmk1lvQgjRjMIzphMtWZFwLFqy\ngvCM6SmqSLSk6KoSyi74A1UT7mgQklzHHEfXz6ZKSGpjpEVJCCGaUbRkZePHV5WQ3sK1iJajTBP/\nKy9Q/ciDYNTbZ62gkPzb7iLzmONasCDpemsuEpSEEKIZufr2I9TY8T59W7wW0TKiy5dRefN1RH7+\nqcE51wknU3TLnei5uS1blASlZiNBSQghmlHakaMJTZlEbNXWliVX3/6kHTl6p6+pDKOmS28lrr79\n8Bw6HGPOrPjXaUeOlvFPKaBiMXz/fQbvE49CNHF9SK2oiPw77yVj5M5/30XrIEFJCCGakebxkD/+\nXiLffo1z8zpinXvs0qy32sHhteOeQpbCun8CWk4Omq4TAkJTJslg8RYW/W0JFTddS3TRwgbn3Kf+\njk433oKenZOCympYu7hVnIiToCSE6PDqt9jUbaHZ1rlkNI+HzOPGkp+fSWVlgFhs59+06g8Ot/w+\nrPIt6LqGlmN359QOFk8/ZuxOP47YMSoSwffsf/A+/STEognntC5dKRh/L+mHj0hRdVsp00x1Ce2G\nBCUhRMo1FkZwpmOFwwQmfYGxYvlu62Jq0GLD1hYaIOm5XamjKeGr7uBwZVlY1dWoWAyr2ouWlY2m\n25OXaweL70ywEzsmsnghlTddS3TpkgbnPL8/h8Jrb0LPzExBZY2oF+LEzpOgJIRIqWRBpfD2O1lz\n43gCS5ailNptXUzbm86f7NzOtt5sK5g19rxqB4cry8LcsN6ecm6aqFAQc8N6HN26o+k6rj59t157\nxXIsvw9lGDhffoFOTzyLnpPCbqA2TkUMvE88iu+/z0C9lhqtW3cKJzxA2iGHpai6xqlYLNUltBuy\njpIQIqWSBZWqxx8lMG8eZlkplrcaZVnxkKIMg9CUL/A+8yShKV+g6kzHbuq5+tP5lWVheavxv/U6\nwSlfoBoZ6xFdVdLszzfZOktpR47G1bc/yu8Dw0Bz6OB0gsMBhoHy++KDxcMzphNdsRxzwzqsslKU\nt5rool/Y8rdLEl4HseOMBT+x+YyT8T37n8SQpGmknXs+XT+e3OpCEgASlJqNtCgJIVKq0XWHLEXg\n049Qfj8oAAVeL45u3YksWYLv5ReIrV2D5nGjZWXvUFdZsnNpo46KP2xtqw2GQQwN1qzG8lbHW21q\n7cpU/6aus1Q7OLzylusIz52D5vGgZ2ZhBfwow8Az9ADybr6D8Izp+N98HbN0M5ZhUHfnsNjaNTvc\nClbbdWeuLkEbvDfWQcPA4d65J9uGqXCY6sf+jf+l5xsMjNZ69qLwnomkHXBQiqrbPmlRaj4SlIQQ\nKdXYukOW3wdWvXVgDAPL5yU0+TPM9euAmgzl9RKB7XaVJTuXNuoonL36EFm4AMvrRQWDaOnp6FnZ\n9mN4q1F+X3zgtLNXH1Q0iveZJ3dqDNDOrLOkeTykjRqDseBHlGFgodCystFzckgbdRRVd91GtGQF\nlrcaq7oKlEI5nfYbvFJoZozI8mXbDUp1uwU1TcOYNhm994fk3XFPhxrnZMyfR+XN1xFbvSrxhK6T\nPu5PFFz1L7S0tJTUtsMkKDUbCUpCiJSqXXeobojRMzMhMxNrs4kVCsePa0pheb2JF6jpfoquKkm6\nyN42z61eBZoGaBAz7Y9oKBSaruPo1gNX/wE49xiIs3sPQl9OxffCs0DTBndbXi/eZ54gsniRPc7I\n5UZzOoDtr7OkDIPQl1NRXi/KMOIBMW24Pbuq9rXTsrLR3OWoYHBrK4iuYwUCGLO+RV106TbrbLRb\ncGXHmVFnBYN4H56I/7WXGvy86H37UXjPg3iGDE1RdU2jTAlKzUWCkhCiyZpzZlVt11J4xnSiq0rs\nQcnRKP4Xn8PdowfRqmq7K8ntxlFcTHTFcpRp2WN14vVE4i0y22qtqR0Urfw+lBFB87hR3mpiq0vi\ng52tslKIGFtbkXSN9GOOI/2YsYSmfEFsdeL4pB0Z3G15vWz+3UlY5VvsegE9I4PMs/+Ie889t/v6\nhWdMJ7a6BEe3HvFB2prHQ/qYY4itWwuW2no8v8DudonF7HFMDge6x4MKBhvUWf/7GF22rNHH7wjb\nr4TnfkflLddjrl2TeELXybjoUvL/fhWauw21qkUlKDUXCUpCiCZp6qytHaF5PKQfMzb+ZqwMA2PG\ndKzVJei5uWimPcA6tnmzPSjZMlGWieZyAeDs2SveIlO/dapua03wi88Iz/pm615cHg/h2bPQHA7Q\nNfSsbLurzTBQRqTB/Xd2HzfvM0/EQxLYbVYqGEQZoaQBq26IiS3/ze6K1LWE2Wux9etw9uiJuWFd\n4mBtTUPPzweH0x7TlJUNupZQZ2PfRy0tPf44dbXn7VesgJ/qB+8j8MZrDc7pewyk0z0P4t57nxRU\ntmtkHaXmI0FJCNEk25q11VzdM5rHQ+Hd9+L4fjaVC38lVllJePZMO2D4fXbXk2mieTw4Bwyk0xPP\nxkNa/dYpz6HD44HDUVyMlp0Dnkg8QFh+L4qaAKJr8VYb175DcBYXY5aWUnHLdaSPGoOzR89G660f\nJJRhEJj2NcamtcS69CSyeFGj94suXdro8fohxvJWo7xeHN16JISY2tY3pUCZFigLNHtWnJae0WB/\nsbp1NvZ9tIIB9IxMVHhru5yr365tv9KahWd+Q+WtN2Bu3JB4wukk89LLyfvL3+JhvM2RdZSajQQl\nIUST7Giryq52z+meNPJOOgl1+Ggqnnw8PuvM0a17vOvMc8hhFNRryarbOlU/cJhlZSgjHJ/FpiwL\npRQYYSyIt7y49x0ClkXwg3fjLTXhb77Gc+hwnL37JnS/1bY41T7fyJJfCU36DMvvw5mejsrMQoXD\nKGpaksCeZq6U3fVX041WV+00/9ruNNxulLIHude2KNU+ru/5Z2quWjumRoHT0WDhw/rjoBr7Pmq6\njmf4EbgH7IG5ZhX5++6FedAwrHY2683yeam6fwLBd99qcE7fcy+K7n0Q18A9U1BZ81Hh8PZvJHaI\nBCUhRJPsyKyt+gElaFn4Xn6BtGFH4Npjj12aKabpenwGWsYxxyVcRxkGoWmTCX81zR4HVFBIdMXy\neCuM5vHEZ7GRlR1fCkDrVAQoUBbZf/orANWPPBgPSUop8AcIf/0lnsOGk/XHCzFLN+Ps3gMA7/NP\nY8yeiQoEiK1ZZQ/WRiOiYbfuZOWAw4kywlvX4nE6ia1fT+Ut1zfotowuW9awO83txr3vUFx77omr\nT9/4a2gF/RCJ2N2H8QtEcR86jLQDD463rNV/zZN9H90D9iD9mLE4nTp5NVuwWLuwBUtrE/r6S6pu\nvxlz86bEEy4XWX+7ityLLkVztv23RivgT3UJ7Ubb/2kQQrSoxmap1W+tCE2bTPjH+XbLj1IQjYJS\nmKWb0XNyGh3TVL8FKvOoo4DMHX5MZRhU3HQtxswZdQIOaB43zu49641BioDlQwVDaA4dDdCz7K43\nzeUiWrIyMSTVBhYzhvHN10SX/Ubn19+j6t7x9rIC1V5UKIjmdKGikZoZU8pu5IlEUJXl4K7TKqPp\n4HBiVZRjLPiB0LTJZJxwcvy0FfQ3XCAyEsHRtQs5l1yWcFjLyASPZ2uNAB4Pem5ewrivnfk+tidW\nVRVV944n+NH7Dc459h1Mp3sfwtWvfwoq2z2UX4JSc5GgJIRoksZmqdXfRNb7zH+wNm3cOkVdKdB1\nu0WFnAZjmhobWByeNpn8Jx7boccEO5wZc2Zh+Xz2AV0HTUOFQlu7rGrGIHkOOZTgZx8DCgVYW8qw\nKsrRMrMITZmE5/Aj7W1CYrEGW1agFNamjZTffA2RBT9BzZYiWBYqGrUftz6l7KUHNOyZaJZld/eZ\nMTSHA99zT5E+5li7xcswiG3caK8IXvvYug7p6WiZWVsvWRMsYyuW261VboWGhpaTjZ6dg3vAHrv0\nfWxPQlMnUXnHLQkD6gHweMi+8p/knH9RYotcO2AFAqkuod2QoCSEaPJ4otpxQGk19/O99Hz8fuEZ\n0+03pLohCeyvza1dOHXHNCVbv8c7dSrWQcMIffllvLbs8y9qUJsyDHzP/AeroiLx8TTNHt9Tp7XF\n1X8Arj33hk8+tG9rmvYMIaVQ0SjhH74nNPMbVCAQH0vU8AVTROZ8Z7eU1dfIlif2i4bdkmTGtl6z\n5qNZVhYfMB76ciqRXxbY0/trb6fraGi4eveJP9/aPd1i69fZXYlKoXQdFYvi3nvwDrUM1Z9t2OCp\ntMCmxLtTdMsWSv95NcHPP21wzrHfARTdMxFnzWva3igJSs1GgpIQHdzOTvdPtgGr55DD7BYQXd8a\nVpSyP9b5q73umKZkA8SDixZR9cR/iK5ZHZ+l1lht4RnTMeu3FoD9uC4XGcefiF5QGJ8FV3bhH7D8\n/vjK1fH6dB2rssJuJWpM7XOBxCCzPboOaGgOHYVj66rJmoYyTVTAjzF3DpEFP6K8XrSs7MTHqnno\nus83WrICy2d3+cWfg1IQjWFtKd2xurbBMsKsufHm3b4p8e6glCLw6cesu+t2YuXliSfT0sj553Vk\nnzsuYVua9kYFA6iI0bbWfmqlJCgJ0cHt7HT/4BefEZ79LVZ1tf0G7XQR9f6CVVmB5vGguVxbp6xb\nFjgc8TfY+mNhGhtYrCyLqo8+IrJmLbVdZMpbHa+5bm3RkpXxrrYG4cXvJ/T1dIpfegM9J4fqhx8g\ntma13RpUmz5quga1zExU/ZW/E4rawWCU5H7KtLY+pu5A86SholG7scnjRhmR+MrbmsuFisZAWWgu\nF46u3YnVbN0SLVlpLzK5pSwxsFkWOBTRtWsbdG3WbTH0HDocY86shBbE2te19phmmoTrLUDZ3MtA\n7A5mWRmV428hPHVyg3POgw6h04QHki7z0N6YZVtwdu+e6jLaPAlKQnRwO7OIouX1UnXPHSifL+FN\nWrk9mD4frp49UT5vzQBjHdwenP0HkH7ESFwDBjTowml0G5OMTMy1qxMeVxkGVs12JXUXTrQqK1AB\nf9JuL3NVCRuPGo6eX4BVUd747ZSyn8+O7pGVrIutPk1DS0uzp2vXDVpmzF6vSClUWjpmaSlEotjT\n+512kKt5DBWNYm5cH59l5+rbD7/Pa4+Jqh/eYjEI+ON7uzVoMbQU1v0T0HJy0HSdEHboRdPiyx6E\nAEwTh6vhW0RrXaVbKUXw4w+omnBnPFDHZWSQe+2NZP3+D2h1m+baObNsswSlZiBBSYgObmc2afU+\n84Q9Bb7um7RSEIuip3nwHH4kWeeeT/irL1FA+qij4oOVG9PYwOLYymWEPtiMWZ3YwqO81USXLSX4\n2cf2VicvPEds7ZrtrxtjmnYLTDKWtePhp4mUYTTeGqVp9mPWn8rt9zfo5rMiUTsYAZ5Dh9thIFm9\nlmUHRxq2GFp+H1b5FnRdiy+zEFm4AEhc9VsFAli6Btk5CZdujat0m5s3UXnHzYS/+rLBOdfwwykc\nfx/Ort1SUFlqWWW73gUrJCgJ0eHtzDTxyOJFSd6kNbSs7PhaPHWnvNfX2ADyugOLjWk6Rk4OWlV1\nzWw5u2VFaRrh+fMITfp8aw21Y41ao9qxQ43Z1jin+iE0FMT76EOkjz4aY84s9JxczGCw4YBzpxPc\nHsxNG/E+82TC9ifA1mUParZoqf95LT07G4euUXfOX2tbPkApRfC9t6m6/267NbCurGx63n0X+thT\nMM1W+rOxm5mlEpSagwQlITq4pk4TV4Zhb/nQ2F5SOdm4+++B59DhBD/7OL7wY/qoMQktSjsygDx9\n1CiiX04iWlGBikZQkUh8QLjavHm3tf60qCaGO3PzJrb87RI8hxxmr+9UPyBqGlpmFirgJ/zVl0R+\nXmAv5+Tfuv2J5vHYY6A8W9d1sj+v6ZKq2WCXiEHu6aejBu1NZM3aVrd8QGzDeipvuxFj5jcNzrmO\nHEXnu++j0579qKwMsHXV8o4h5vHgNAximzZs/8ZiuyQoiRbXnDvPi+axvWnitZRhUP3wA5g1g4oT\nL6KRecIp5F7xDyrvvCVh4cfwN18TmjaFggkPAFD92EOE536H5nHbM7yA8I/zKfvzH+0NXYs7kzlq\nDKbPh7lpU51QpkEg0Hpbj1pAbM1qrMoKrNLNW2fr1X4EVHVVfKkD0zAgIxNN0+JrSelZ2WBZ8dcd\nwL3vUHuMUsnK+IrgmicN38yZODZsIu+Oe5r8O7q7fs+VZRF463WqJ96LCtabAp+TS/7Nt5Nx4ik4\nXe1rXaSmiGVl4zQMgitXkJfqYtoBCUqiRe2OnedF89nWm1vt9y78zVeNDnjWsrNxFBcT/vZrjDmz\n7QXvaqbca4ZBZOGCmu1FviQ0ZzaqqrJm+v4Wu7soECSyYX3NxTTC06dBg3FHqqM1DiTSdLBMTJ+v\n4cKWup7YzVc7/ikcRuvcGffQ/XHtMTC+RIIxZ1ZCCyLYATb4yUd2oMq2B3tHVzZ9ptvu+j2PrV1D\n5a03YMyZ3eCc++jjKLz1Thydinb6+u2Fu1MRlG9B1f4+iV0iQUm0qJbYeV7snO3tz6aiUaIlKxrm\nlNpZRJqGo7gz1f++316LqE7XmELDrKoiNG0K0ZUrUNXVWxdrrB+6altIZFPPhtLTsILBmmUAnEBk\nazCqux5U3cBkxlCGQcYxxyX8jjXWgqjn5OIosoNG3dlhTZ3p1ty/58qy8L/2Mt6HH6jZR6+O/HwK\nbr2LjOOOb/J1261cux1JrZeg1BwkKIkWtTNT0UXza6zlqO6bm7IszA3rMQ0jvj8bponSNPTsHLtF\nI2F7Egd6fgHVjz6EVVraSNeYAp/P3v+tugoi9fYxS7hpR24y2o6E/bvqvYbJxmwphWbG8Bw6fLuX\n35kZkI1pzt/z6KqVVN58HZEf5jc45zn+JApuvh1HfkETr9rO5dV0uPl9WNXV6Lm5qa2njZOgJFpU\nc/1HLHaOMgxC0ybje+4prEDAXula1whO+hyUhVlWZneNWFs3gq0dZ2TvHaXQs3Owsrz2+BDLAk+a\nvU5QJGpPR7aSbPsBdndbpOEMK7GbaBpaejqO4i4Yc2Ylbc2JB+dly9DS0rGCgfjeZ65+TZ/p1hy/\n58o08b/0X6ofeyhxw19AK+xE/u13kzHmmCbV1VGo3K0jk2JrVuEePDSF1bR9EpREi+poO5a3FnUD\nkllWihUIoGGvSaR37kr4q2n27Wo3da3tujEtex8xtxtHVjZgTzN3du+B5fOCUujFxVhlZXag2tZi\nfppmD8qu3RRW7B4uF8RMtDQPekEhera9GXCy1pz6Xa5YCj0jk/QjRlCw32DMg4ZhOdyN3DO5Xf09\njy5fRsVN1xL9ZUHDa596BgXX3yKtJNuwGahdNSqyfJkEpV0kQUm0qI60Y3lrYRlhKm+5HmPBj1hl\npaiatXuUy4UKh7FWlUA0sjXA1F/bJxTC2rAelZVF3g23oWekE12+nPCsb7CCAcz16+3FD2v3d2ts\nGxGgdgNaioqhorzxDWXrcjgaX4JAbFsksvX7oNmbv2hoSVtzGown0jVUOIR7wEDyTjqJysoAVqxp\nwXZnf89VNIrvv8/gffIx+2ey7jWLiim86z7SRoxsUi0dUTgtHcvjQTcMfL/8TNbpZ6a6pDZNgpJo\ncTs6FV00j9BXX9mDsGu7L2pbdmpDSO3HuhvE1qcUKhZDczlrum++IPTlZDRdt/cow+4q0RwOe72j\nZJRCixjQqRNq06bk45FqZstJUNpJloUKG1hlZeD1kjZ8RNLWnOTjiRo/vqOa+nseWforlTddR3Tx\nwgbn0n53FgXX3WQvbSC2q3dxMa4u3TBXl6BWLk91OW2eBCUh2rnIsqVYXnt1a1U3eNQPIZbVeNdZ\nzYaxekYm0dWrCE35Av+br2N5q9GystGysu1ZbKFQ4oy4xlqWdB0VDKGjoVxuiEW3Pnb9xzRNOyxJ\nN93OcbvQsrPRPGmkjzkmaWtO8vFE/XZvfTVUJIL3mSfxPfNkgxmQWteuFN51P2nDDm+RWtoTR3Ex\n5uoSrCRBWOw4CUpCtGNWOEx41ky7ZQHs8FEbiGpbberucbaN7TSUsjBmfUto6iSs0s1YlVX2Ys6e\nNDDC9jXiXT41164/9b+mJcsydmDqvwSkxiXr2qzPMFAuN47CImKNLRBaI9l4ovRRo5qh2G2LLF5I\n5U3XEl26pMG5jHPOI+9f16NnZu72OtojR+cu9idlpVhVVeh5svTkzpKgJEQ75p06FRUM2NtWGIY9\n7kfZu9M7OncBpTA3bsROPNt481UKze3B9Hox162FUGjr7euujly3lUqm+e8eSkFamj0WaVthsmZj\nXMvn3eZss2TjiXRP2m4o3qYiBt4nHsX332catGzq3XtQeM9EPAcdstsevyOIByXsQJo2/IgUVtO2\nSVASop2pneptri6BkuVYXi+4PWhOF4RDKDT0/Hz03FzMsjJw6MRXvN7GmCG9uDPmb0shFNzBQiQo\n7TaRiL2a+faWWjBNLG/1dtdQaslxg8aCn6i86Vpi9cfOaBoZf7yAvP+7Bj1dRjDuKkeXrihdR7Ms\nIj8vkKC0CyQoCdGOJEz1VorYqhJUOFzTJaaD04nm0NHcbjtAGWEwa7rMnE57Jlrdv/Brxyylp4Oy\nUOHGRrOIFmdZEDO33w2n62g5udtcQ6mlqHCY6sf+jf+l5xu0hOm9etutSPsfmKLq2peNW7YQSE8n\nLakuwL0AACAASURBVL8Qd3kZxoIfUl1SmyZBSYh2pO5Ub8vrtUNSfDZbDKIRlMuFWb7F3hi1Zgp5\nfH0jl8u+UJ3xRprbDV27EfttqbQStSZOB2hOiERBJemCc7nQlML7n8cITvmC9FFjSB9zbIsvx2HM\nn0flzdcRW70q8YSuk3nhxeRd8Q9ZIqQZRZQiohSurl2hvAzjpx9RSiVsSyN2nAQl0eJ2167iHVXd\n1zO6/DeUZaHpOqpmQUj7RnUCTixmt0a4XWidOuHIyMJctwacLvTcXPSMDGKlm+3p/poGmVlo3mo7\ndInWIxrdfnBVCnPjBsyNEF2xnPCMrwlNm0LBhAda5HfOCgbxPjwR/2svNahV7z+AThMekMUQd4Pe\nRUUUZmcTGbgnwYU/Q3UV5to1OHv1TnVpbZIEJdGidteu4h1V/dfT8nqxvNU4unWvc6t6A7WVsr+u\naVHSXE6cvfvi6j8A5x4DcXbvQWjKJCKLF2KFw1BViVV/I1KRejvSulc3TCmFCvgxfv6pRTahDs+Z\nTeWtN2CuXZN4wuEg6+K/knvZ39Hc8ju/Ozl69Ix/bsyfJ0FpJ0lQEi0qPGM6kRXLUH4fyoigedxE\nVixrkf+424u6LUiWt5rIimVoug6AnpWN8laj/D607Bx7E9VkizZGY1jl5aiwAZaFo09fXH36oqJR\nYuvW2NcKBuyQJF1ubUvNz0PCWCBlf638vm1uTlt3MoA2eG+sg4ZBE7YwsQJ+qif+P3t3Hh9XXS5+\n/PM9Z/bsaUtLW2zTFoZ9ERUBKS2Fsii4XK/i/vNeuW5X5aIoVxZFEHDDBRUvLlzcQBQVQWwpLXtZ\nRKDARYYuKUtLmzRtMpnJzJmZc76/P87MZJu0WSazPu/XKy+Sk8nMNyXJPPN8n+/zXEP8d78d9Tkz\nfDAzrvo2vkMOHf/3IibNaGtDN7egon0kH36ABunQPSkSKImSSm18EXv7tsGBqwDRKKlNGyVQGoeR\nGSS7uxttJTHnznODJUNhzp3vZocWLCC5+i5SnZ1jBEsaPTCAHhgApUiuXUPqmadR2kGn0+h43N1u\nkyCp+hT8f+aebNSOxunrJXrDj0dtfQ/9+VJKYa29G2PB7bRefvW4Mr7Jhx5gz1e+jP3a9uGf8Hho\n+uRnaf7Yx1G5Ojgx7ZRS6I5FqA1PYT38UL57vpgYCZRESemB+KhJ4FgWOh4rz4KqzMi5XMrvdzNI\n0X60odCWhfL78Z+4lNQjD2IGg+5tBvZxpF9rSFk4ucaEKtcyQIKkqrOv8S+OjfXIejDUqK3vUXPf\ngPSWzfvM+DrRKL3f/DoDf/z9qM+Zhx7OzKu/hffA8FS+KzEBr+3aRTzu9jdLtc9gJuD09WI9u4HA\n0a8v7+KqkFHuBYj6YoQawedD2zY6k3FHavh8GA0yw2k8Rs7lMhqbwOfH2dWF092FE+3D6dlF33Xf\nwXryH25h92R60mhHgqRqkuuIbhjg8RYeRZO9nRFqAGPw8+lONxBy3x9r7lvnmA+duG8tO845fXSQ\n5PXR/PkvMeeWP0qQVGK5U28prVELF6GzW7G9a1aXd2FVSjJKoqQ8CxfiFhfnCozd9z0LpMhwPEbN\n5TIURnMzOuEBw0THY24Q2tWFg8Lu2jn4JCqBT+3K/b81TZRpoO3RM/YwTVQwiAqM7ridq1kae+7b\n6M7eTm8vvVd/jYE7/jzqc54jj2bG1d/G21GaeXFiuNypt5z+AxZgv9SJ/fgjZVxV9ZKMkhBVQFsW\niTWrSG18ERUIgjP4RGg0NmLsNxsV8KPyvZEUOLZba2SPMexW1A5lgGFi7jcbfP4C224KFQzhXXyg\nm4UcIRcIBZYux9uxePjnFi0msHT5sGuJNavYcfbK0UGS30/LFy9m9m9+L0FSBfEuORAA/c/ncXp7\ny7ya6iMZJVFSma1bs+/pYf/NvPRSOZZTFUYWcGvHwQg1EDjhJDwLFmA98zSJVXehhw6azZ16ymTc\nbTQZMFu7lHIbSxoGTiqF8nrQpgkeL6qxMT+YOPSOd9Hyqc/Re+VXRg3AzQVCQ+e+2S9vpe3wQ7Df\ncDxO9tSbvbuH3iu/SmLVX0ctw3PsG5l55TfwLFg47d+ymBjPkgNh7d3gOCQfeZjQmW8t95KqigRK\noqScgZg7nNXR7hO4MtCWhRPvL/fSKlauwFZnj3Y7SQvH2Ulq5kyS6x/EjvWjraRbsO04KK8XIxBA\nNTbidHe7dWCidnk87ngZjxfDcdDJJMrrxTxgAcozeMLJnDET5fcTWHYKoNEogstOGdWpOzf3zeMx\naG1rYM+eOHbaJrHqr/Re+VWcPbuHP34gSMsXLqLx3A/k21SIymLO2R/d0ICKx0k+dL8EShMkgZIo\nLcMDKWtIvYwDjg2mHBkeKdfPJva7m7H7+tDRqJs1SqfRWpNcd49bd+LzQ2MjSmv0QAJCIVSoAZ1y\nT8BpaRZZ29Jpd6abYaCz7+M46IE4qrk5fzPPvPnDMpMASSC4YuVe7z7T3UXPZZeQXHv3qM95jzue\nGVd+A8+8+UX7dsTUDT31lmPOmUvD5o0MPHAfLbaNKW0Cxk0CJVFSmS0bRxcVa01m84vlWdA0KzSu\nBdjnCJeh221OtA9n5w637kSpwW20bKZIx2MwEM8XbOtYDNsw8QSDOFrDiD+YogYplZ/lleuVo4e0\n4cjVHY06+t859tF/rTU9v/sd2y++GKevb/gnGxpo/eLFNLz7vTI/rALlTrwN5VvYAZs3Qs8uep54\nnP2OO75Mq6s+EiiJkrJjhfsl2TX4ZF5oXMvAqrtAKTIvdeavFRrhMrSfjWpsArVzdJ2R1tkapBGB\np6NQA3GYORPdu0fqk+qBbbtZJJ8vP58v9LZzMFpa8S7sILB0Of03/bzglxbq0p3Z8Ro9l19C4v57\nR93ed+JJtH/tajz7z52Gb0QUw8hTbwBOczPRtWsAjfPYIyCB0rhJoCRKyxzjR86ovTRwoeZ9qec2\nAO6R/pxCr+qH9rNRhoFqbEKPrA2Bwkf+tUanUm6BfFK23eqG1m7A5PHgfd0CWj5zwbDgezxH/7XW\nDPzxVnq/8XX0yBc1jU20XfwVQue8U7JIVchoaMCcNw9726tuoCTGTSrvREnZmwpvsY11vZoVat6n\nkxZOtA+7qwt7xw7sri6caJT0pk3DbjfyaLUyzWwzQU+2a3buE2M8YTmO2wFdeifVFw3m3HnMuPaH\no7ZzCx79H3LiLbNtG7vO+wh7Lv3vUUGSb9kK9v/rGhre/i4JkqqYJ9smwHl2w+jtVDGmqsgohcPh\nucAPgOXAAHAr8N+RSCRV1oWJCXPG2Hob63o1G/kKXjsOTjzmFmPHYm4wYxjg9ZJc/yBN/3Ze/skt\nsHQ5iTWrB7ffAn5UQyNGUxP2rm5IpfYeBDnSO6kuGQptpei95grar/rWqNNsuaP/6a2deBd24D/u\nBBL3rWXgL38muf7BUeOFjNZW2i/7Gv7T3yoBUg3wHnwo1v33QibDwN/uoPHcD5Z7SVWhKgIl4Dag\nBzgRmAHcCGSAL5VzUWISzDGSmGNdr2Ijgx0d60d53F+5/Ek0x3H73wzEh22/jXxS88ybT2LdPaSe\neRpS6fFliiSbVJecnm6S6x8ksfZuQmedPexzuaP/Qdwaup4LPoP12CPuDMYRgqefyeLvfoeYJ0Qm\nI3Vu1aTQqTcAlEGgrR3fnt3E/3SbBErjVPGBUjgcDgNvAmZHIpFd2WuXAd9CAqXq4xmjDYDXV9p1\nlMDIYCezMUJ682Yyu7rdI93ZImutFDrWj/XCP9HpNMn71qKB4LIVBFeszAdPwRUr6f63D2K/+koZ\nvytRFSyLxH3rRgVKOdq22fO1S0net3Z0QN3QSPvXv0HzWW/F29YAe2rvoEWtK3TqLcc4+FB8jzxE\n+tkNpDdtzHftFmOr+EAJ2AGckQuSshTQUqb1iCnwtLWR6d0z+npraxlWM/2U35+vAUlvjODE+jH8\nfuzcdHetIZXC7upi4JbfELdtt88UkHzwfgbuXkVo5RlkXn0Fz/wDyOzetbeHE/UunUabZn6aYsGb\ndG5hzyVfIvXUP0Z/sqWFxvd9iNDKM6dzlWKaFTr1luM0N9P32HqU4xD/8220fuGiEq+u+lR8oBSJ\nRPqANbmPw+GwAv4TuKdsixKT5jvuBDIFipx9x51QhtVMv6EtArTj4ET73Kkthgk6NTis1DBwYm53\ncpVtBKcti+RD95P+5/+hGhuxt21D90fL+N2IqmDbqFAo24F7kLZtYv/7c/p++N1RtUja48Ezdy5G\nUzP+Qw4t5WpFiRkNDbBoMWzayMBf/kTL+V/IlwSIwqrxX+dbwNHAG8q9EDFxqrGx8PUxXv1Uu2H9\nkAwDc+48t1Yp2OAWZWfS2SaSGrJ1S9rR4DHdHkmOg921EzUQd0eUSN2R2BvDwAiF8J+4dFjH7fSm\njey++Iukn90w+mtaW/HO2R9lmsNOwYna5Rx2JOamjTi7ukk+/ADBk0/Z9xfVsaoKlMLh8DeAzwLv\niUQi/5zI15pVWCycW3M1rh0Kr98Z0Vcof33LJjyeyvo+i/Hvb7/UOey0kDJNaGqGQNBtOpnJzmGz\nM0O+KDP841QKvbtADyUhcrLtI4xQiMZ3n0vr+f+F4Q+g02n6fnYDvT/8PqSHHxI29pvNjMuvhIxN\neusWvAsXEVy2DMMfyN5l7f39qRZTXbOhwDTGPqVoLl6MamtH79lN4s+30bTi1Ck9Xq2rmkApHA5f\nB3wc+EAkEvnzRL++uXlk79nqUc1rh+Hr704ULgw1kgO0tTWUakkTMpV/f3XEoVhDZ2Q5DqnXtqMN\nY99H/EeSbJIoJDvWRhkGgYMOIjSzFfOJR/DOncsrF15I4plnRn3JjA9/mHlf/SrmODK5tfT3p14E\nQz5CDf4xPz9gBzHPOZvYTTeRWHcPTdrC095ewhVWl6oIlMLh8FeA/wDeG4lE/jSZ+4hGE9h2dR1x\nNU2D5uZgVa4dCq/f2j26kBvA6tnNngo7XVOMf3/nDcdjLLid9BY3k+b09aEdjbbT7g2y89nGlMtG\nSZAkxqIUqrERnU5jvbaDnjvuxP7FjTi7ukf93Bhz5zHrqm8SPOFEohn2eqKtFv/+VIvc2idry8vb\n6QkV/lsLEE0kmPnGN+O96SZ0Ok3kJz9lzsc/hWFUX/ZtqsbzAr3iA6VwOHwIcAlwFbA+HA7Pzn0u\nEonsHO/92LZTtb1AqnntMHz99o7XCt9mx2sV+z1O6d/f9NF6+dX5FgHpjRHSmzdhb99W3EWK+qUM\nlNcHqRROPI7d3TWqWBug4f0fouW/vojR0DChn+da+vtTL5KOxmeP/eLK6wvA5k707DmonTsY+NVN\ndL3zPcycObOEq6weFR8oAefgjlq5JPsG7slXDdTegLAap9OZCV2vBUOb/CXWrCLa+WN3dluuO/fe\nskqSSRL7osBJJNzeXMnRtWzG/AOYcdW38L/hTWVYnCiHvbUHGMo69o0k7roDz65unM0bQQKlgio+\nUIpEIt8AvlHudYgiGau+sE6mI/iPOwH1yxvRqS7w+90nN9t22wTY9uANDRN0NohSxvDibiGGsh2w\nksN/fnBfSarGJvxHHInviKPKszZR0byHH0li9V1g29h/uxOOO77cS6pI9bchKcprrMxRpvYDAW1Z\n9F75FZyBOEZudlt7O8aMmZhz9ofAkJoEJ/ukp6mbIFJMknZGBUkObr8c7wGvI/PySyQfuLc8axMV\nzQiF8IYPAcC+exU6NXrLVkigJErNM8ZuqVn7u6hDeyoBKKXQySTK58Pp78935M7T2n0SrIMgUhSH\nVgqCITzzD8DzuoXuOXEgvbWzvAsTFcv3+mxLwt49DNxxe3kXU6EqfutN1JgRr3z3eb2GpDu3oB3H\nLeTOFtvqTAY7FssGRVKPJCbPXHIQje94FwN/u3PU57wLO8qwIlEuYw7FLaShkWBLK96+Xvpv/Cmh\nd74bVYen3/ZG/jVEaWXqN1DydixCx/oHgySt3e/bcdw3CZTEJGggcPqZzPnDX2j8wEfwdiwe9nnp\ntl1/ckNxx/UGJI9+PQCZLZtJFAi0651klERpNTZAb+/o6w2V2WyymAJLl2Ncfx12V5cbIOWG4gox\nSdrvJ3jc8cy45lqUzwdA2xXX5NtReBd2EFi6HOUfu/ng3jjJJPHVq7A2b8LbsWhK9yVKZ7yn3nL0\nrFn0Pv0kqq+Xvm9fQ2DZCncmnAAkUBKllk5P7HoV05aVrUvakn+SaXj/h+m98itSdySmRAPK68Mz\ndx6BU0+n/+c34AzEUKEGfAceRGDpcoKnnTGlx3CsJC9/+RLiL0TQWpMAEmtW03bFNRIs1Rjl8eAs\nX4H559uwd+4g+pPraP38ReVeVsWQQEmUVjI5sesVrFAglHsC0ZbFnksvyhdvJ4CBVXdhv7ZdgiQx\nJY7Wbgdl08B++SV6r74C5fWgEwkwTIxZM/Gvuov2q741pYAmcd99JDduHHYt3bmZ5AP3TjkIExVo\n0RKMN5+I8+jDxH7xUwJvOZmAtAsApEZJlNpYRYJVVDyoLYuBu+6g633vovfbVzOw+i6iN/yYPZde\nhM7WH4084QZgPfs0qRdfKMeSRQ3Q2W1aIzfWJpV2a9uSCXR/vxuApyycnTtJrn+QxNAZg5Mw8uc3\nf11O0NUmpfB+/kuo5hbQmt0Xno+9q7vcq6oIklESJTZGUyBV+kBpbxmhvX3NnksvwtrwFE53l3sx\nGsWcOy//ajuwdDmJNauwu7vzdSOOZaF797jNAaUuSUyQo/VggATZU5JjH4zQ8Tixm39NcMXKSWeV\nvB2LKdRVR07QVb4JnXrLiiYStHu9tFx0KekvfwFnVzc7P/cpvN/+ATNmz67LOXA5EiiJylDi4KHQ\n1th46i9ymSI9dJaWZaFj/ajmFtKbNpFYs9oNpPp63dorrQc7byvpHinGT2uNUmp4kLQv2ROU6Y0v\n0v2xD+M//sR83dJEgqbgsmVk7r+H+AuR/DU5QVcdcifaJiIQCOC9/16ShoE69o0Y//g7zlP/IPrp\n8+B/bmTWrFnTtNrKJ4GSKK0KGGGiLYu+664l+fijKL8fo7EJDDWu+ot05xbAnd+W+zOkAScaRVsp\nUv/3DJnXtkOowd0KcbLDOHPtDySbJMYpFyRN8ovRiQFSG54ivXULyvTg+eWNzPzRTzGam8d1F4Y/\nwOu++122//mvWFs2T/kEnSidiZ56G0mfdTbxvl4ymzbif+F57F/dCBd8sYgrrC71m0sT5eGMMcV7\nrOtFlsskDdz5F3S0D6e7C3v7q+C4Acy+6i+8HYsAMBqbBoOldBo9MABWktSzz2Bv3+YOvJXskZiE\nXC3SpIMk94vdbGYmg969GyfaR/r/nmXXp88bng3dByMQoOH0M2g+75METztDgqQ6oUyThnefi7Hf\nbAAyP/sJsd/fUuZVlY8ESqK0xjrxVaKTYLmtM+X35a9py8KJ9QP7rr8ILF3uNvQzFObc+RgNjeDx\nYsyegzl3PioQcLfi+vvroommKK4pZZGGGnkf2Z/FzCsvy9w3MS4qEKDxAx9GN7qZqd6vXszAXXeU\neVXlIVtvorQ8XsgU6Jnk8Zbk4fNbZ41NEI0Odsm2rIL1F4Ua7g1t6JfeGCG9eZPb8t9xx5BorWEg\nLttsYtxyAVJRgqTRd57/WVR+P+mtnQT38SVCABgtrTj/ei7mn/4AvXvYfdHnUaEQwWUryr20kpJA\nSZSUsf/+OK+8XPB6KXg7FpEAlGFgzp2HjvWjrRSht51Dy2cuGLa1sLeGe8HTziAIJNasIrr5Rzh9\nfTi7utGZjHTcFhNStCzSUAW2snP1eHJqrfZN5tTbWKKOZsZlVxC87CKIxeg5/9N4v/k9zNwwXaC9\nvb2mT8XV7ncmKpLndQsmdL3Y8ltnuMGS0dxC4E1vHhUkwd4b7uX4jzsBJ9qHvXOnW/uRyUiQJMal\nKLVI46EURksL5tz5eBcvkVNrdWBCs9728RYIBPC88jL2296B9nghlSJ14eeI/+SHxG//I9tv/jW7\nd+8u97c8rSSjJEpqrEJSnUqV5PGV3z/mLKyRfZUymzeOvgNHk1izOn8bnU6723h7dhfeUhSigGnJ\nIhVimhitrXgPPozG95wrp9bqxFRPvRXU0kL6fR8k/ttfotJpPH/8PY0fPQ9CoeI+TgWSQEmUVmKg\n8PWB4qSJx0P5/fmtsxxtWey++Iuknt2AtiyU349nv/1QmQxOtB/HslA+H040ihOLktq8Eac/iu7r\nQyeT+d41QuzNtNYiFXxAwPTQ+J5zZeyImDLv4iU0/Ou5xH93MzqZIParG+G9Hyj3sqadBEqipDKx\nWOHrRdpPn6zE2ruxHn4gn/HSQKqvF8PrxYkPABrHdgCNnj0be9urEIuVrK2BqH4lyyINpcBzwOtk\nu00UjffgQwm9/V0M/PkP6Fg/xm23oN92DsycWe6lTRupURIlpXt6Cl/ftavEKxkued/aUduCOpFE\nZzKYs2ahmltQwaDbYXt3DyQSkkES41KyWqQCPK9byMwf/VS220RR+Y4+hsDpZwGgentJfeGzONFo\nmVc1fSRQEqU11tbbWNdLpGDIo53BQthZszBaWlBKoZOWBEliXMqSRcoyF3aw3823jbsTtxATETj+\nRPxLlwGgN29i16f+HSeRKO+ipolsvYnSGutJo4RPJoWG4QaXrSD54P35vkoAyudDeTxkunZm57QZ\nbkbJ74PU+Lsbi/pT8lqkEcwFC5l9y58kSKpTxWwPsFeHHI6xcyeNkX+SevIf9Jz/aWb+6AaUp7ZC\ni9r6bkTFMzsWY2+MFLxeCmMNw2295HICJ5xE6rkNaCsFHg96YAC7vx9SaTe7ZBjg92P6AzgeL7pr\nZ0nWLKpLObNIACiFN3yoBEl1bDJDcSft5FMIoTEiL2A9eB9937qK1v++rDSPXSISKImS8h5xVMFA\nyXvEUSV5/NwIEwDtOOhYP8nHHyV6w49ovehS+m/6Gal/Pk9my2Z0MoHKddoGt3A7lcLevdsNnIQY\notxZpKHS//dM/vSmqD/T0h5gL/S/vo/em36OeuVlYr/6XzxLDqLxX88t2eNPNwmUREklH3+k8PW/\nF74+GYW21nJPGLkRJtpxsLdvy2+1Ddz5FxKr/4ZqbkbH+nF6drnjSJRiWAWTbWdHlUigJAaVPYuU\noxQYBhr3RUFg6fIxfxeEKBbl8eCc/U48f/4Devs2eq+4DO9BYfxHHVPupRWFBEqitLZvK3x92xjX\nJ2isrbW2K65B+f35ESY61j+sHgnbxon2YRjK3XpTBtjpwrVTEiSJrErKIgFgGKiGRozmZlKbNmab\noxb+XRCiqIJBvNd8h/Qn/h09EGf3hecz+7Y7MJqqfwtYTr2J0hqr71CR+hEN3VrLGTp2JDfCRFuD\nncCV3+/WHwFOTw9OXx84dkkLzEV1KeeR/zFlgyRz3jyUYaDjsb3+LghRbMbCRbRedgUA9quvsOdr\nlw6WLlQxySiJmpLbWsvJ1SHFbr0ZcAOltiuuoe+6axm48y8onw8AJ9dhW4h9qJhttpE8HoyWZpRh\n4O1YjBFqLHiz9NbOYV3pRe0p2am3IaKJBO27e2g/4S0Yp5+Js/pvJP56B10nLMU86eSqHpwrgZKo\nKbmtNRheh5RBEb3hx/mth5bPXIC9YwfWww/gJC2wJEgSe1dx22wjGC2tBN/2DvwHH5KvTUrcu2bU\n7bwLO8qwOlFKJT31lhUIBPDefy9xw4CDDsZY/zCqP0rqG1ewp3MLfPijzKzS7t0SKImaEli6PF+X\nkatDUn4/RkMjTjRK8vFH6bvuWlo+cwHBU04lteFpiO8o97JFhavYLNIQTs8uMps30fIfn0L5/cN+\nF3K8HYtlnEkdKPWpt9GaSJ35VgZuvRkVjdL67NNlXMvUSaAkaory+2m74hqSD9xL7NabyaAwGhqx\nX9uGtiw0EL/tVqz1D+HpWIxGg50p97JFhar0LNIwjkPqH4+TfOBegqedMex3Ib21E+/CDjn1JkrG\ne8hheBYfSGbzRtQ//o7u2VW18+AkUBI1R/n9BE87A2cgQd+3rybT3YVOp92C7UwGnc6Q2dqJ3d2N\nE+2TcSSioGrIIo2kk9awGqTc74LUJIlSU0oRXHkG/ddvRGUyZH59E1xxdbmXNSnVWVklxD440Sh9\n112Ls2e3W6Rt25BOu0GRnXEDJ3CvCTFERZ5oG0op8HoLXteOg9PXO2rAsxDlYM6eg/ewIwCw7/gT\nmR2vlXlFkyMZJVGTojf8yG0aaRhug8ihTSOVAsdBx2NlW5+oTBWfRTIM/CedjOegg0n84XduKwvt\nuC8AtAbTILF6Fdb6h2j62CcIrlgpW211qByn3sZiHH4kDc8/h0ql6L/hx7Rl2wdUE8koiZqUev55\nN1tk2wwLknKUknYAIq/is0hZ5oKFzPzej2n7rwuZ87d1NH7oI5hz50EwBHPnoQwTp6ebzNZOeq++\ngq73vYuBu+6QDFOdyZ16q4S3ZGsbsY5FAMT/cCuZIjUXLiXJKImaZISCY9ceSU2SGKLis0g5Hg/7\n/e/N+QyR0dxM65cuwWhrJ7FmFU60DyflBkQ6nUb39aLjMfq+/22S962Tjtx1pPyn3obrWbYCXtoK\nmTT9P/9J1WWVJKMkao62LLeGQ6kCQVH2CdE08924RX2qlixSzn633o45a9ao697sq/Vct3ltO26n\n++z3pa2UdOQW5dXWjrFiJQDxP/0Be3dPmRc0MfJMIUprrCelIj1Z5We9Pfdc4cfw+9wgiUJBlKgX\nVZNFAlAKz5IDif3ihoJbaLmxPMrvdplHO+6LANN0vzx7Pb21s2RLFmIkz7kfcN+xLGK//VV5FzNB\nEiiJ0prmQCk3600XujulINTgvtrOpCVQqkPVlkXC58N7UBjl95Pu3Exi7d0k1qzKdplfhc42VG27\n4hpaPvcFPAs7MFpawet1c6d+P6rR3YKRjtyinIwlB+E/8SQA4r/9FU4isY+vqBxSoyRqSn7W7jRQ\nngAAIABJREFUW6HiVceBxIAESHWqqrJIWcr0gOFmhnA0/T/7ST5TlID8SB7l9xM662yCK1aSWHs3\n/T/7CU48hmpsys9+k47c9aOSTr3B4By4lne/Fx5+EKd3D12/vgnPO99dFTPgJFASpVXkjJK2rGwW\naQvejkV45h/gfsLJ1mnk799wtyQy0oW73lRVd+0RtGVhb38V1dwCWrvfi6HQVgrl95HavDHfiRsY\nFjBJR+76VY5Zb3uTmwOXVApjv9morp2kb7yBroEB+MCHK34GnARKorS83uyR/QLXJ0Bb1uAr55jb\nD0mnUnjmz8ec/zoyO3cOL+bW2aBJAqW6Uo1ZJGDwZ1c7OPE4KntAQaNQ6WzRNkA0SmrTxnyglP9y\n6chd1yrt1NtQqZNOZuC2W1G9vbRsf7XcyxkXCZREiU09o5Qr2LY2PInT3e122dYaTJPU7h48B7wO\n36GHYq1/eDCrNDS7JGpeNWeRAPf3QSkwTVQohNHcjBOPQ38MzCHbFJYljVNFVfEeejjqnrvRfb0Y\nf38sXzdYySRQEqWVHKOAby+FfSO313Q67RZsW6nBo9C5zsRA5pWX3WaS+Vfllf+LKIqnarNIhuGm\nibQDHg/KMFB+P+bc+WAodNIaHiThZo6MhsrMHAhRiDJNAsefSGLVX1E7XkNveApOXVnuZe2VBEqi\nouWP+3duBtwCVmwblOEee9ZDMkVa51+J23297jVlgC6w1SdqTlVmkQxjMNupAY8J2sRoaUEFghiN\nTWC4348K+FH+WW5X+expN6OxCe+SJeVbvxCT4DvmWJL3rUMnE2Ru+bUESkJMRe64/1BOPAYo90SP\ntwedGRj8pNZuIBUIQDIpW251oiqzSCMbomoH0m4PpODpZ6J7+4b97PsOPwqUIvPSYD8kOc0mCqm0\nU2+F+A85DP9TT+Csf4iuJx7HWLioYk/ASaAkKlr+uP8QqrEJpTWg0LpAIKS1Owg39wsnwVLNqsos\nUs5YW8JK4TvsKEJnnDXq5Bogp9nEPlXaqbdC0ocfge+Zp1C2TfIbV9K79BR43wcr8gScBEqionk7\nFjGyekkZBk0fPQ/rmadJvxgZ/UVauw0lA0G3b5KoWVUZIO2NaWK0z8Du2jHmyTU5zSb2pZJPvQ01\ncPTrSf3j7xj/fJ6WE04q93LGVHk5LiGGyI1nwNE40Sh2dzcqECTwlpNxdve4WaNRT5YKFQpBypJC\n7hpUDadkJix3ys0wUIGAdNEWdcF/4knuz73joJ54vNzLGZMESqKiKb+f1ksuR4VC2QJWH85AnN4r\nvwK2gzIL/wjraBRSKdl2q0E1l0WCfECvTBPfEUdJ3ZGoC2b7DLyHHQGAenYDure3zCsqTAIlUVG0\nZY2aZWU9th6dTGDOmoXR3IIyDNKdmzH328+tzxhZ/GcahZtaiqpVk1kkcButejyoUAjV3EzDe99P\n+9e/ifL7C/4uCFFrcvPfVCZD5rbflXk1hUmNkqgYA3fdMWpGVWLNaoz5B+BE+/JjG3KfI9SAZ/ES\nUv/33GDmSCkJkmpQTWSRTBPl86MdB+xMvv+X0dCAOXc+3sVLaDn/wnyQNLItxtC5bkLUCs/+c/Es\nOYjMphex/3AL9nmfwGyfUe5lDTPpQCkcDr8TOB84ArCBJ4FvRCKRdUVam6gzfd//Dk53l/tBNIo5\ndx7pzZvQzz+H090NDI5tMObsT+rxR3ESCYzGJpzePe6wUH8ABuISLNWAqjzyPxalUA0NeOa5swid\nWD9OMon/iCPxHXYk3iVLhp1gK9QWI925edhcNyHGUg3tAYYyjziKhk0vQjxO//U/pPXir5R7ScNM\nKlAKh8MfAX4B/BG4AjCBE4HV4XD4XyKRyF+Kt0RRL4ZtLVgWOtaPRqGTyfyrbK01DAygu7qw43FU\nQyPktt8yGTDS4PFIoFQDailIQmsIBHFi0XxmNPCGN9F+1bcKZogKtcUASG/tlBNvYp+qoT3AMPvN\nRi/soHFrJ7Hf/YaG938Ib8eicq8qb7IZpS8DF0YikWuHXPt2OBy+CPgaIIGSmDDl8+HYjtt4Txk4\niSQ6ZaEyGfB40KEQxOKAQqdSOP3R0UNukwk3UBJVqaaySDna7emlbJvBWYcqf1pz5Ige96Tn6LYY\ngJyGE+NSLe0Bhuo59XS46eeQTtN75VeY+bNfVszfgsk+oxwA3FHg+h+Ayya/HFHPnGgUHDtbu5FB\n79kN4NZ05GSH32rtjA6Scsa6LipWVTeOHA+lAI3R3Jy/lHmpk8Tau0net25ULVLrJZfjXbN62Pab\ndOEWNa2lFfP9H8a+6edYjzxM4q47CL31nHKvCph8oPQQ8G7g6hHXTwXWT2lFon6lLPcUkJ0Nlhwn\n2yfJcLNMuVSy48CANJKsFTWZRRpJa3Q6ne0YP/i9Dg2SctKdm7EeW0/bFddIF25RVzwf/Aisuwf7\nlZfoveZKAictG/biomzrmuTXrQMuC4fDxwL3AWngjcAHgRvD4fCXczeMRCJXTXWRoj4Ys2ahk5Y7\ny82yBue2GaYbMOXqjqpp712MqeazSDmBAEb7DPTuHpxY/7A//JrCP8vprZ1uB27pwi3qiPIHaLvs\na+w67yM4Pbvo+963aLvsinIva9KB0qeBHuC47FtON/C2IR9rQAIlMS5GcwuO0we9vYPBkFJuNoka\nfzKtM3WRRQJQCnPGDFRzC3Y8NuzAgrdjMYFlp9BfoHBbapHEVFTbqTeAaCJB++4eCB+CsWIlztq7\nif/ut6SXrcA49HCAsg3NnVSgFIlEDij2QkSdCDW4x/dHXQ/hWdBBctPd7py2XKA08r+iqtVNFinH\n54NMBmUYmHPnETj+RIyW1uFDbkdsv0ktkpiqqjv1BgQCAbz330vcMGDJQRgP3o9KWViXXoTzwf9H\nXzJZtqG5UzoeFA6HZwCjNs0jkcj2qdyvqGGBQOFAKRAkeMqpJB9bD7v3uAmkKvtFF3tXN1mkobRG\n+dw/kb7FB9LymQtG1RlJLZIotmo89TZMUxPWqStJ3HUHqruLhuefg8OPLNtyJttH6XTgRmD2iE+5\nRzvcvkpCjLZ795jX01s73YJXtARJNaTuskhDePfbj9C73o1n0ZIxAyDl90stkhAj+N7wJlJPP4m9\nfRvJe++BBeXbjp5sRukHwFPA9VCw3YcQYxgrANLogbg7yDbXoE9UvbrMIg3RcsYZNH76s2QyMpxZ\niIlQhkHwbW8n9tPrIZVC3b8OPviRsqxlsoHSfOCcSCQSKeZiRJ0zPYOtAURVq+csUp5hkOnpKfcq\nhKhanrnz3MzS3x/DiPwT+6l/wGmnl34dk/y6+4BjAAmURNEk161BTrdVv3rPIgFuVtTrRZlShSBK\nrxpPvY3psCNpfHYDRjJJ5nvfRi87BeX1lnQJkw2UPgE8Gg6HVwJbgGEpAOmdJIZyrCSJdevGnF+V\nk9m+3T3xJqqSZJGGUhiBAM0rV5Z7IaIOVeOptzH5/fQcfSyzHn0Y3bmZ2C2/pulDHy3pEiYbKF0E\n7A+8HRjZIll6J4k8J5mk5+KLSG3etO8bJxNSm1SlJIs0ggLV0EDz8uX0y4+0KLGqP/U2Qk8ohOrd\njX7hn0Sv+y6hM9+GOXNWyR5/soHSh4CPRSKRXxRzMaL2RO+5h/QWt0eMs68ZbBIkVR3JIhWgFJgm\nTixO9N57UcskqyTElBgG3vMvJPWJf0PHYvT//AZav3Rx6R5+kl+XAO4v5kJEbUpucjNJ2nGwX3m5\nzKsRxSRZpAK8XvD73dqkVIro3XeXe0VC1ATj0MMJrjwTgPjvb3GHqJfqsSf5ddfjznoLFHMxovYE\nliwBQMf63aP/ourpbOZPgqQRsv8eQ/9VJEcqRPE0/ft/AKAH4sRu/W3JHneyW29vBpYD7w2Hw6/h\nDsXNi0QiB011YaI2NJ96Kl1/up3Mo4/kn0hEdZMAqYDGRhgYGLZ9rPx+WqSYW5RBTZ16Y8gcuP3n\noY48Gv3M0/T/5U+k3vHuksx/m2yg9PfsmxB7ZQQCzPj6Nez+7neI33E7urur3EsSkyDbbHuhFJ79\n52Lv3OEeWzY9KL8P/5FH03rmmfQl7HKvUNSZmjr1xvA5cGrmLAxAb9rIjv/5EXz809M+/22yQ3Ev\nLfZCRO0y/AFaPnMBTlcXA3feXu7liEmQIClLKXc/zeeFTMb92ONBJ5ME3nIywVNOJbPtVbwLO2g4\n5RSMQAAStfPKXlSHWjv1NpRz5NFE160BoHn7qyV5zEkPxQ2Hw4cDnwUOBs4Fzgb+LxKJPFSktYkq\noC3LHejZuQVvx6K9DvT0n3iSBEpVRLJIBWgNSqFaWjFnzkTH+tFWCt9Rx9B+xTXDfvYNz/RuBwhR\nj4zWVsw5+2PveA21aWNJHnOyQ3GPAdYD/wDeCASA44DrwuHw2ZFIZHXxligqlbYs9lx6EelO9/h/\nwtH0//JG/MefiHdhB4ZhYPXsINXSTvQ3vyb9wvNlXrGYCAmSxqA1yrZRhoFqbgEgdNrpY75AEEIU\nl/fgQ7B3vAavvoKO9kElbr0B3wK+F4lE/jscDvcDRCKRfwuHwzHgckACpTrgZpLcIAlHY29/FW1Z\n2Dt2oGNRQOGdP49UZyc6mZQ+SVVAskj7kP230UN6gnk7FhNYurxcKxKi7ngPPpTkfetQWmM//CAs\nWjytjzfZQOlY4NMFrn8f2DD55RQWDof9wI+Bd+F2Av9OJBK5ttiPI0bb29ba0JEkTqwfbVnZ96Pu\n+7ZDOhckyaDbqiBB0j4oBV4f3gMPIrB0Gd6FHXvdbhZCFJ8xew5G+wyc3T0469bAh/7ftD7eZAOl\nNNBY4Pp8Ro80KYZvA68HlgELgV+Gw+GtkUjkj9PwWCJr1NYakFizmrZsLYa3YxGJIbfVALYNySSk\n0+A4OHZGMkkVTrJIE6AUKuCn8X0fJHTW2eVejRAF1Vp7gEIaDzwI47FHcJ54HHvPbsy29ml7rMlW\nG/4FuDIcDufK6nU4HF4CfA/4a1FWlhUOh0PAvwOfjUQiGyKRyO3AN4H/LObjiNGGba1lpTs3k3zg\nXgACS5fj7XBTnsrnc4Mj24Z0ZjCDpJQEShVOgqRxUgrV0EDghJMIrpD+SKJy5doD1OrbroEBrPd/\n2P1mbZvEmumt9plsRunzuHVIPdn7+DvQBjwHXFicpeUdlX2MR4Zcewj4cpEfR4wwdGsNAEfjxPqJ\n3Xoz4AZKbVdcQ/KBexlYfReJnl2QtEAP6RsjQVJFkizSOCnDbbXt8aBaWmg4+x20fOYC2WoTFa2W\n2wMA9PT303DMsWQWH0hm80YSf7uTxve8b9oeb1IZpUgk0gccj9sS4MvAtcA7gWMjkciu4i0PgP2B\nXZFIZOhE1Z1AIBwOzyjyY4khvB2LBj/IFms73V1kXt5K9IYfs/vLF5JYezfpzi1o23ZHlOgRtUjZ\n49RMc+dUMTESJI2TdtzsaCaD94AFEiQJUUFCZ74VAOvxR7F3dU/b44w7oxQOh9cB74pEIr0AkUhE\n42aVpvuEWwiwRlzLfTzuv1imWX1P1Lk1l2vtDaecQnLt3aS3bM4WaKdQ/gBGUzNojbX+IdLPbgCl\nyHTtdLfdRspllCSzVHaSRZqE3NaxMvDsvz/ehuC4v7Tcv79TJesvn6mu2VBgGrX7u24aCo9H0XjW\n24j+8HugNamH7qfp3e+ZlsebyNbbMsA3LavYuySjA6Lcx+MuHG9uHv8fuEpTvrU30Paj64jecw+7\nfvlLrGxTYnb3oG0bbSWxB+LukNRCQVKO1ClVBAmSJiGXEVXgC/ppa2uY8F1U898ekPVXo2DIR6ih\ndjOfA7ZFa2sDM5csYNfChaS2biXz0H20nffRaXm8SXfmLqFtwMxwOGxEIpHcvs4cIJHLbo1HNJrA\ntqvriLppGjQ3B8u/9hOX4+/tJ/7Vy/ItAHQ6DXZmcNDt3gIhw9h7ICWmjWSRikBrlM+H54ST2bNn\n/CeJKub3d5Jk/eWTW/tkbXl5Oz2hPUVcUWWJJhL0bXmZ3t44+rgTYOtW+tat48XnIii/n/b2GeMe\nlDueFz8TDZTmh8PhwL5uFIlEXp7g/e7N07jtCN6M2w0c4CQmOJTXth0ymer6Zckp5dq1ZZFYezfJ\n+9aigeCyFQRXrMSxNRpNNqc05L/jIEFSyeUCJAmSisDjwf+Wk/EvP3VSv4fV/LcHZP3VKOlofHbt\nZvG9vgBq7Tr6DAO0xgRIJon+4Pv0zdmfzPs+WNRBuRMNlPYVnCjcZ1BzcssZLRKJJMLh8C+Bn4TD\n4X/D7dX0eeAjxXoM4dKWxe6Lv4j18AP5zFHygfvp/80vUX4/qqkJGpsgnUYnE9DfL1tqFUiySEVk\nmHgWLWHGN66VIm5RNWr91NtQOnwI0UAAnUwSfHnrtHTpnmig9G5gd9FXsW8X4HbmXgf0AZdm+ymJ\nIko+cC+pZzcMbq8BxGOkn3sGo7kFHY+B3485dx4q1o9tWW62KJPZ6/2K0pAsUpF5vSjTJPCWkyRI\nEqJCKdPEc9DBpJ95mtRzz8KJJxX9MSYaKD0ciUS6ir6KfYhEIgngo9k3MU3SnVvyQRLgBkGOA0q5\nNUmAHhjAiUYxmpsxHY1jWehpPJYpxkeySEXg8bg/81q7dXWmiTFjJs3/UWhakxCiUviPfSPpZ54G\nK4l64Z9Fv//qOzcppo23Y9HwV865bTXHQSdyw0oUpCya//3jzL7tTvyHH1HydYpBOvv/SIKkKWpo\nxJyzP2rmLIzZc/C98Tga3/8hZt92J0Zzc7lXJ4TYC/N1CzBm7QeA2vBU0e9/IhmllwCpyq1hgaXL\n8a3+22CN0pAnX5Xt66FMAxUIoLxejOZmVDBUruXWPckiFYlhEHjjm/Adc6wMuRU1oR5mvY3kDR9M\nsLsLtXMHvY8/Am86HoD29vZxn4Aby7gDpUgk0pF7PxwOL4hEIi8Vul04HD4zEon8bUqrEmWh/H7a\nv/7N7Km3dTi2TWrDk+jdQ8rS/H5UYxPprZ0ELIvMju3lW3CdklqkIlIKTBOdztB83ifLvRohiiI3\nE62epJeECTy6HpXJ4PvfnxF/7TX6BgagCCfgJttH6elwOPzxSCRya+5COBwOAt8FzqOIp95EaSm/\nn9BZZxM662y0ZdH3vW8R//NtoEE1N2E0NaMMA8+8+ey59CIyLxeMl8U0kSxSEeVG65gm3nC43KsR\nomjq6dTbUANHHk3qyScwIi/Q/Na3Q6g4Ox6TDZSuB34bDodXAp8BjgR+BTQB09NDXJSUtiz2XHoR\n6c2b3J4PKQvdDzQ14+1wj1+mNm+EbJG3mF6SRSoCpaChEQayWxKmCaaJKQXbQtQE3xveROrJJyCd\ndou7Dz28KPc72aG4X8YdaXIK8ALwIG4zyEMjkchtRVmZKKvkA/eS7twMhsKcOx9j1n4of4DA8SfS\nesnlDNz9NzKbNqJjsXIvteZJFqlIPB48BxyAeeBB+I45Fv+bjpeCbSFqiGfuPMy58wCwnni8aH3+\npjLCZBvQCbwFt9FkJ9BfjEWJ8tGWRfKBe4n97ma3DUBDI048hrYst+lkIMieyy8hee9aySZNM8ki\nFZFhuMG+YaAMg6YPf5TgaWeUe1VCiCLzveFNJP7yJ5zuLtj2SlHuc1KBUjgc/i/ga8DzwBG4W28/\nAd4RDof/LRKJFP98nph2+e22zs040T7s7m7sHa+hTLfkTAOJVX/FTialyeQ0kyxSkRgGyh8Arxej\npQUAb8diAkuXl3lhQkyfejz1ljdrNk1+P8qyyPzjiaLc5WQzSt8ErgK+FolEbODFcDj8MPAL4DHA\nV5TViWmTyxylO7fg7VhEYOnywe02QDU2oXp60JaFdrSbMzRMMtu3QyYto0umiWSRiigQIHjyKQRP\nOx2AzLZX5fi/qAv1eOotJ5pOEzztDLx33o5/6xZavd4p3+dkA6UTI5HI40MvRCKR14Azw+Hwp6a8\nKjGthmaOABLAwKq7ALC7usCxcZThduXWGhwbUJJFmmaSRSoiw8BobsF76GGEzjq73KsRoqTq9dQb\nQE9/P8HjTyB15+2QyZB+6gk8y1ZM6T4nFSiNDJJywuGwD9gwpRWJaTc0cwSgHYfk+gdRHg9Ob687\nxmEorclOfhPTQLJI00AplN+Hd2HHvm8rhKgpKnwIqqERHY9hPfYowXIESuFw+Fjgp7j1SYVOzkkf\npQqW7twy7GMd6wfLkt20MpEAaRp4PPgOP0pqkYSoQ8rjwXfkUViPPEw6MvXZb5PdevsukMHtofRd\n4AJgCfBp4ENTXpUoikJ1SMrvx9uxiMSw26WA7MQSr9cNmByZVjOdZJttGgwp3G5457/Qcv6FUosk\nRJ3Kj9dynCnf12QDpdcDp0QikcfD4fBHgWcjkcj14XD4VeA/gN9PeWViSgrVISXWrKbtimsILF1O\nYs3qwcJtvw/t84HHg47H3cJtMa0kSCo+1diE54AD8HYsliBJiHpXxL+xkw2UDOC17PsbcbfgHgJu\nB/67COsSUzSyDgkg3bmZ5AP3Eli6nMCyU9C2jd21E3PO/ugn/+EGSVoXJQIXo0kWaZp4POD1EXjL\nSYROP0tOtYm6V8/tAaKJBO27e2jY4j7/pYMhdu3aNaXhuJMNlDbiNpq8Gbcz9xtxx5q0APIXqgKM\nrEPKX9+0yc0mbd6Evf1V9/i/Mtwj/4BqaECZHpzePdICoMgkSCoyw0A1NmG0tOA74ijav/5NCZCE\noL7bAwQCAbyr/orOJgoyhmLXzb+e0nDcyQZK1wG/CLuDJP8APBMOhxPAibh9lESZjaxDynHi/W5D\nyVi/GyQBJAdvqRNJdO4JXSn3TTJMkyZZpGnS1IxvyYEE3nIy3iVLJIskxBD13B4AIPXMBgay7zcf\ndDB6isNxJ9se4GfhcHgXsCsSibwQDoc/AlwEvAz855RWJIpiZB0SuB2JVagBcGuYALcVQO6Vh1Kg\nHbAdySYViQRJxec58miaP/xRgitWSnAkhBjFesLtYGS0tmHOngNT3IYcd6AUDocvG+P6Kdl3c8Nw\nP4I73kSUkfL7abviGrdWaWtnviNx8oF7Sd57D8rvd7NJQ4MkAGUAQzJIEjBNmGSRpo85bz6hFadJ\nE0khREH2zh3YL28F3LlvapJ1SUNNJKP0Vdxn0H1NmdNIoFQRlN+f7yOTq1nyH3cC3myNko72oW0b\nDAM8HpTHgwo14OzZw7BgSUyIBEnTJNdtW5pICiHGkLz/Xvcd04PvmGOLcp8TCZRuAN6Vff8W4JZI\nJCJduCtYoRYB3jWrab3kcqzH1pPetAkn2kvykYfRiQRGYxN2tM/dfhMTIlmk6We0tuFdvESaSAqx\nD/V06i0UCg3+7d25A/P55wBwjjqaPY4D/f30DQzQMIXHGHegFIlEPhEOhz8NnAK8F1gXDod34p58\nuyUSiWycwjrENBirRYD12HqCp51B8DT3Wr4x5dZOkg/cR2rnDingniAJkqaZz0fLhV8mdMZZUpck\nxD7Uy6m3aCLBnDPOor19Blpr0v/1aXcvJBgi+JUrUW3tADQA7e3tk36cCRVzRyIRG1gDrAmHw58E\nTgfeAzwRDoc3M5hpennSKxJFM2aLgK2dBId8PHSLbuCuO2Ws2zhJFmkaKQWhBgxDgc9PyxcuouHt\n7yz3qoSoCvVy6q2nv5+G9hnMnDmT+O1/ZM+TTwDQ9NGP0XLgQUV7nMm2ByASiaSBO4E7w+GwH/go\ncA1wNTLrrSKM1SJgaI2HtiwSa++m/2c/wYnHcGxHtt7GSYKkaeTxYDY24JszB2NBB6Ez3lruFQkh\nKpTds4u+a64EwLOwg+bzPlnU+590oAQQDof3B/4F+FfcBpQbgR8UYV2iCAq1CPAs6ECn00Rv+DGe\n+QeQWLuG1HPPYHftHGwVoAy397psv40iWaQS8HgwZ8/B//pjmf3Ot2O/4Xgc01fuVQkhKpB2HPZc\n+iWcvl4A2i6/qujb8xMOlMLh8Fzg3bjB0QnAFuBW4LNS3F1ZRrYI8MybT2LtGvpv/CkATjSKE+1D\ne32QShVuBeDzQ8oq8corTy5AkiBp+hmtbfiPfj0zv34NrXNmsGdPHCcjQbsQYjT7l78g8+D9ADS8\n/0P433hc0R9jIn2UzscNkN4MvIQbHH0uEok8WfRViaJRfr9buA0k1qwik+0vAdmmk5aFsh30WIV/\nEiRJFqkUPB5UIACBIKFz3kHLZy7A8AfKvSohqlK9nHpLvRhh5r1rAPAecRStX/zytDzORDJK1wIp\nYBXwePba28Lh8NtG3jASiUgfpQqU7tyCdhx0rB9tpcC23QDJscu9tIokWaQSCATA58Mzbz7KMPB2\nLKblMxfIyTYhpqAeTr15tm+j/f61oDVGaxszvvtDlG96/m5MJFB6Gfc81GHZt7FIw8kK4kSjRG/4\nEekXXgCvB3vbtuFZIscBrzc7vqS2f7EmQrJI0897zLE0feDDAGS2vZrvHi9BkhBTU+un3jLbXiW2\n+i63rtbvZ8YPrsczd960Pd5E+igtnLZViKLJ90Tq3II5e3/6rrsWvbvH/Vwm4/5gGQagQAFeH56O\nJWRe/CdYss0mWaTSMNramXX9zzGam8u9FCFEFbF37iT+6/+FlIU2DHxf/yb+N7xpWh9zSqfeRGUZ\n2Ynb3rEDZ89uN2MEg6fa7CFbbYaJ3r0Lz8JFZLZsgnS6DCuvDJJFKgHTg2fBAmbd+FsJkoQQE2L3\n9BD71S/QiQQohfPWczDfdPy0P+7Up8WJijGyE7dOJt3AyHHct0JbaynLHVuSTkGmPmuVcoXsEiRN\nM2UQOHkZs2+7E3PWrHKvRghRRZy+PmK//AU6FgMg9PZ3wUEHl+SxJaNUQ0Z24laBAHogPnaQlDMw\ngBOLoYJB9/Z1RLJIJeTz4TvsSKlBEmKaVfupt2Hz2wAG4hi3/AaV7ZXknHIa/YsPnPIMt/GSQKlG\naMvCifZhd3ej/H6MxibMWfu5TbjsfWSKbBtndw+Y9dNQXWqRSszrxZw1C++SJeVeiRBb1QFmAAAg\nAElEQVQ1r5pPvQ2d3wag+/tJnf9J9J7dAHjO+ySeD30UmPoMt/GSQKmKDC3U9nYsyp8QytUmpTZv\nRFtJdLQPHe3DnDsf3+FHknn5JZx4bO/F2pmM+1YHJItUYqaJEQrhO/Lo/ExBIcT0qeZTb0Pntznx\nOLs++wn0xhcBaPrYx2k+/wsl//stgVIVcKwkA6tX5+exqcYmlGGQWLN6sPN252aUYWDOmYuzqxud\nTGLuvz+eBR2kIi9Auj6CoL2RLFKJKQWBAMGlywmedjrBFStl200IMS7asuj5zMdJPe32tG449wM0\n/9cXy/L3WwKlCuckk/RcfBHJp57E6e5yL0ajmHPnkdq8kb7rriX9wgs40T5UqBFnx3a34zZgPfsM\n1mOPQmKgjN9BZZAsUokYhtthWxn4j3sz7Vd9W063CSEmRGcy9Hz+s1iPrgcgdPY7aL3k8rL9DZdA\nqczG2k7Lid5zD+ktm/PBDwCWhdPXh+7dQ/zll92i7XgMjB60baOUQtsOxGKQTJThu6ockkUqMaUw\nZszAf9TrabviGskgCSEmRmvSV38NZ507miSwYiVtX/8myijfIX0JlMpoWN8jRxOP9WNcfx1NH/sE\nwRUrwRMkuWkT4M5sG1qa53R3uTVFHg/azjaSzGRAKXTulJtj13W3bckilYhS4PGABnP2frR87guy\nzSaEmDCtNWrt3TgbngLAf/yJzPjO91Ge8oYqEiiVUb7vkaOxt7/qnlzrhr7vf5vkfeuYefU3CGRP\nCRmNTW6RtmW52aJch23THAyGDMNtBaCUe71OirNHkixSaammJlQgiOeA1zHzRz+VrTYhyqwq2wNo\njf/R9fizQZLvmGOZcd3/TNv8tomQQKmMcn2PnFj/sK01baVId24mcd99zH3HW+n60+2kNm/CnDvf\nvW0ygbZt9MCAGySl0+5/TdMNkuroBNtIkkUqsWAwX6wtc9qEqAxV1x5AaxrWP4T/uQ0AeA4+hJnX\n/xwjFCrzwlwSKJWRt2MRCRhefwQovw+A9NYtGIEAM75+DfF160hv2oQT78d+bTvWsxsgY6MTA/mM\nkvL5QGt0HY4hkSxSGSiF9+BDpRZJiApTTe0BtOOQ+MufSGWDJNWxiFk/vamiMtMywqSMAkuX4+1Y\nPPxJxu9HNbo/4N6FiwAw/AECS5eT6dyM9dgjZLZuhf5+NBoVDLqZpEAAFQjWdZAkSkgpPEcezazr\nfy5BkhBiUrRlMXDrzfkWAHr2HHw/+AnmjJllXtlwklEqI+X303bFNSTW3j2qR5K3YzHBZcvytx02\nx81QmHPno2L9mPvNJrNzBzoaxYn2ubVLStVFEbdkkcrENGl43wdo/fx/S5AkhJgUe9cu4r/7Tb7t\njbmgg9TZ70C1tJZ5ZaNJoFRmyu8ndNbZBFesdIOhrZ14F3YQWLocwx/I3y69cSNONIq2rPyIEqO5\nGf8Jb4H1D5He1e0GSHVCskhlYpoETz1dgiQhxKSlI/8k/sff56dFeI84itA572R3MlnmlRUmgVKF\nUH4/wdPOIMhgb6X4S52oIw7FPuL1JB95CLtrZ37ArePzYR6wAN+SA1Ea7J07sLu7QdV2SwDJIpWR\nUjSc+0Fav3CRBElCVLBKPfUW8nowHrwfI7fVphR62Skkj3kDyWSyZENuJ0oCpQoztLeSUgpr7d04\nXj+ZaJ8bJGVPs+lEAqd7J/7jTnC/UCk3oeTzoXM9lWosYJIsUhkZBt4jj5YgSYgqUImn3qyXttK4\n4UmM17a7F9ra8V9+FcbRr8/fplRDbidKAqUKM6wWKSvzyktu4GOa7gWt803+kg/dj06ncfp60ak0\nmIZbp1RhvyRTIVmkMsjVuZkmqqER75IlzPyxFG4LUQ0q6dSbTqVI3r+O5PqHUNnnpcApp9H21Ssx\nZ84q8+rGRwKlCpPrrTSU8vlxYnEUDAZLAD4/0f/5Mfa2V9CJxGA37hoiWaQy8HpRLa0o7eA56GCa\nzv2A9EgSQkxY+sUIibvuwOnd4z5/NTbSdvFXCZ3zzqr6uy6BUoXJ9VYaymhqAq8Xe/u2/DXl96O0\nJvPSVkhZ1BrJIpWJz4+nYxHK4wbkTed+gOBpZ5R5UUKIauJE+0isuov088/lr+mFHQS+9QMaDjus\njCubHOmjVGFyvZWG8i45kFk3/hbvYUegmlswZu2HOXe+m0GqwQ7ckkUqk1ADZkdHPkjydiwmsHR5\nmRclhKgW2rZJ/v/27jxOrrLM+//nnFNrL9Xp7BuEToInLC44jMhOQCCDMvzkccFl9NERBxlURJBF\nRBEFZFFUQEXQ0WdG58HBkVEfgQDBKCCiLIrLEbIQAtmXXms/5/fHXVVdvVS6O93Jqer+vl+vvNJ1\nzunqqyuVqqvu+7qv+/FH6br1lkqSZLW00vS2c/DPfgfWnDkhR7h3NKJUZ8q9lTKrV1HcsJ72ww+h\neOTR+E6MWXd+f0ALgd77/h/Fzb8IO+QJo1GkkMRi2LNm03zW2cTcZQNaVGi6TaTx7I9Vb01NTQNf\nqze9gv3g/VhbtwAQAMERf0dw7PF0xxN1u6JtNJQo1aFyq4BIxGZaezO7dvXiF/wBLQQA/L4+Mg89\nALnGr0vSKFJIIlEiS5Zi2TYxd9mA55eINKZ9veqtK51m7oozmD59BkF3N4Vvf4Pivff0b6flLiP2\nycuwlx1a+Z56XdE2GkqUGky5x1Lu+b+RfexXEItDLhd2WHtNo0ghsiysOXMqneA1zSYyOezrVW87\nurtpap9O028fZ/d11+Dv2A6A1dxC24UX03zOe7CqFx41OCVKDaS6x5Lf1Ym/bRuWZRNEo6YlgO+H\nHeKoKUEKkW1DPE7UPYTk8ScRXbpU02wiMnq7d5G/+GPsfPKJyqHkijcz7bIrcWY3Zh3SnihRaiDV\nPZaCTJag6EMxB5YN0agZWWqA/kmaZgtX7LVH0PKe95E85TQlRyIyakGhQPaxX2OvXoVfWkjkLDyA\n9quuIXHcCSFHt+8oUWoglR5LfkDQ2wOFfCkx8huif5JGkepAJELLe95H0xlnhh2JiDSQwovr6fvZ\nvfjbtlZ6+rV+8MO0nncBdnJyVzYqUWog5R5Lfk+32aak3D0Z6n4kSaNI9SHSsZjCyxvDDkNE9qGJ\nWPVWWdWWTmOtXoX93B8q5/Jz59P8pZtp+/ujxhtqQ1Ci1AD8bIb0ww+Tf/55rEQSf+tWLMsisKva\nYPm+SZwsq65qlTSKVCcsC3vGTKxYjOhBHWFHIyL70HhXvZVXtbX98Q/k7/oW7N5lTrSmiHzko8TP\nOJMZM2dOULT1T4lSnfMzGXZ8+jJya14oHQhwUimKgJXLEmSykM+bc5aN6V5RHzSKFCLLAicCgUma\nrWgUK5nU6jaRKWC8q952bN9O7Fu3kf/FzyrHmv7xrbRdcjnOjKmTIJUpUapzXQ8+SH7tGgLfJ+jp\nJsjmsKIxIgsPoLh1C0FPT+XNsFKnFI32J08h0ChS+Ox587GKBex4nMAPsFpaaP3QeSrgFpE9Kry4\nHvueuyl2dQLgzJ1H+xeuJ3HM8SFHFh4lSnUu88ILBL5v9nnLmj3dAiDwixCLmdok24aiT2U0qTwN\nF0Ldkh8E2EqQwtXayrSLPoUTjxPZspHCnIXEjjtRCZKI1BQEAdnHHyWz8j6s0ntH8s3/SPuVV2O3\ntYUcXbiUKNW5xNKlBN3dlSQJIMjlCDZvGliPZFn9s27F/b8CrjyKpCQpZLZNbOmrSJ5yGtHmJO2l\nzu6FQv3UrYlIfQnyefp++hPyf3jG3I7HiV32GWa8890hR1YflCjVudSb3oR1w42wbSuA6Z0UYEaL\nqkeMQlz1plqkEDkO2DZWNArRKNElS5l5+10aPRKZwkaz6q2yqq2nG/sn92Bt2QxAMGMmnaefwdxT\nTtsfoTYEJUp1zk4kaPvweez68k0E2SxkM2aEqQ5qtlWLFDLbxpo+g+iBi0gcc7w6bIsIMPKqt/Kq\ntvZ8ntyF5xOUkiT7hOVEr7iKZFNzw+7Lti8oUWoAyeNPpOvf/w+FlzZgRaL9OdJIdUjldgHlKboJ\nHHXSKFKIbBscByvZRPOZZ9H20YuUHIlIxUir3nZ0d5PMZCh88qMEpb5qreddQOqCC7Gq284IoESp\n7vmZDDs//1mCvj6seNyMKiWTkE6PLvGxLIhEzcq4Cdg8V6NIIbMsrFgM4nESxxyvJElExq67m9zH\nzoOtWwBIXfQpUh86L+Sg6pcSpTpXbg+AbWGnUgA402fgZ9L4O3cSZDOmFUBlpRtQymGs5mZIJLGT\nCfxMlmD7tuGTq/IniBEaVWpFW4hsm/jxJ2InkhCNkjzpZC31F5ExC3I57HvvqSRJbZd+mtb3/3PI\nUdU3JUp1LvPCC0OOBRbEDjkcy7EobNpk9oDr6yUIgsoUm93WRvwNb6Sw4cXSd3VRrDVVV06yatCK\ntvDFjz2BWd+4K+wwRKSBBUFA370/rhRut57/MSVJo6DJyDqXWLp0wO1yT6Xcc8+SX7eWoK8PO5GA\nWMxMiTkOVnMz8TccTbJq1YLd0gpNzbV/UI1pPF+1SOGzHdo/8/mwoxCRBpf77W/I/+mPANjLTyF1\n/sdCjqgxaESpzqXe9Ca2/ve95NaYxpP+1i2mp1IQgB+YKbm2aSRPPR1/xw4CqEzLAGQeeZj8ujUE\nBFi2TZBMmqm6QmGPP1ejSPtZ9eNcTlptG6upGXvefPJ/eY7IwoXhxCYiDWW49gBNuRzOyvuxgMKM\nmTRf/lkVbo+SEqU6ZycSzPji9fTcfz/dd36ToJTg+Nu3EXR34cxfaJKl6TOYdumVBNksmdWr6P7e\nXUQ7FjPtyqvJPvEYfSvvJ+jpwW5ppbDhRYJCT82fqRVtISi/YFWN7FmJBJEDDgTbIr9+HcmQQhOR\nxjK4PUBXXx+Lnvk9ViEPjkPTDbcwY/78ECNsLEqUGoAdT5iGgo6DnUrhb9sGQJDN4vd0Y6dSRA/q\nIMhm2XnFJeSeexY/k8Xyi9jtM0gcexzFrVsJ+voopPtMAfgwtKItLKXH2/dNwhQEYFkExeKAf18R\nkdEY3B5gx1O/w/njswC0fvh82o4+JqzQGpISpQaRX7cWAKulFbq6+vd9y2aJLOogyOfZecUlpH/5\nsJlWKxQIggB/5056Xlxn3oT3sLWJRpHCFFSSI+IJc7tYxLIsgmyWaMcSEicsDztIEWlAge9jP/or\nAJx580n9y/khR9R4lCg1iGjHYtKAZds48xcQ9HQTZHM0/cObKW7dSvddd1B4cR309QGWGaQoD73m\n8zXvV6NIdaDUQJJCATuZwJ49p//f9y3/qF5JIrLX8n/6I9aO7QCkzv8YVkyvJWNV94mS67ptwM3A\nWzCr9H4OXOh5Xmeoge1niROWk155P/l1a7BsGyvVRrRjCbFXv5buu+6g+MpG04wSMCMUI9+nD9iR\n0lMghI10hf4GkpS28LOdAf++SpJEZDyyv/0NANaChTSddXbI0TSmuk+UgG8BHcCK0u1vAncA7wwt\nohBY8Tjt11xPZvUq8uvXET2og8QJy+n+3l34Pd0mSbLtUSU8lRVtoARpf0oksJwIQXk7mXwOYnGs\nlhasRByrqYXEscdht02r/PsqSRKRsSqverN37qDlpQ0AOGf9L6xII7zl15+6ftRc120CzgaO8Tzv\nmdKxC4HVruvGPM8b/54cDcSKx0meumLA6qdox+L+kSTHgaIPfu3kR921Q2LbZvSoqYnI7NmVflhk\ns1iJhCnY1giSiEyA8qq3yHOmZxKRCDPOeXe4QTWwem+i4GOm3J6tOmYBDtASSkR1JnHCcrOEHEoF\nwcNf55fqlSpJkm2XlqQradr3ShsT53KVEbxyrZk9axaRAw8i9eHzab/meiVJIjJui2bNYum8ebRt\nfgWAxPEnEp05K+SoGlddjyh5npcBHhh0+OPAHzzP2xlCSHXHiseZedu32fqB91D4mzfsVNqQUaTy\n144DQQEse8R93mR0rJYWgnJDz8q/hVnFhmXh93Tj+HPBtiq1SC3vOIfkqSv2eL8iImNR3LUTa+cO\nAK2aHafQEyXXdRPAghqnN3me11d17QXA24DTx/pzHKfeB8+GKse8p9iDXI7uf/8uhec9KA7stl1O\nkCpJUnmvt/LfRR8iEbAdUy+jZGncgnJyVGNLGCIRgp5u7LY2AKKLl9B88snYkYl/fo7m+VPPFH+4\nFH94xhuzbYG/fl3ldstJJxHZB68xU0XoiRJwFLCK4ddpvRX4HwDXdc8Hvgp83PO8h8b6Q1Kpxu1r\nXCv2vmef5cWPfYzMn/885FwAQ0eRSk0ryeUq03TO7Nk0LVtG729+g5/Njri1ieyBbWP5vinWHo5l\nEZkxg5aj3kBy2TISS5aQetObzF59+1AjP/dB8YdN8TeeZFMMa5vZ+NaePZtZh7shR9TYQk+UPM/7\nJSPUSrmuezFwA/BJz/Nu3Zuf09WVplhsrBETx7FJpZJDYvezGTpv/Rqdd35ryFSbj3kwrfKoEZT6\n9ETM3nD5TP/xYpHiK5vo6erqny6SvVdOkorF4UeULIsglyN64puIn76CAOhMFyHdO/TaCVDr+dMo\nFH+4FH94yrHvrbUbXmHOmrU4gHXwq9i1a9+8xkwG7e172Cy+JPREaSSu674f+BJmJOnre3s/xaJP\nodBY/1nKqmPPPvs0uz59KYW1Lwy8yLJoeud7yDzyEP62rQMTqKZmLNsi6OkZ+gYe+MMfHyzZBJn0\nyNdJf6G87/f/sSywHZyFBxI77sT9+lxs5Oc+KP6wKf7Gk/ED2LULgOQhh0+533+i1XWi5LpuO/B1\n4HvA3a7rzqk6vc3zvCnzr++n03R9/Sv0fP87Q2qJ7IM6mHHtjcRf93r8Cy+m6xtfI/3gAxR37oT2\nadiWDbkcQV/f8HVIo0l+0n0jXzPZOc6e+05ZlhmVsyzsmbMJ0r2mdUOxiOU4RA89jJm3fVsr20Rk\nn1o0bRpOzrSNicyvVQIso1XXiRJwGtAMvL/0B0qbc2CaUG4IKa79KvPkb9l++SUUNrw48IRt0/KB\nc2m74MLKm6+dSjHt0itpu/ASdl5xCZnHfkWQzRLkVKw9LrYNySbs6dMJOjsJOnfXvtaySJ5yKvEj\nXk/6kYexgMRJJ5M85TQlSSKy73V3V7505s4NMZDJoa4TJc/z/i/wf8OOIyx+by8bb/gC2+66a8io\nj71kKTOvu4nY4a8Z9nuteJzECcvJ/vZx/O7uPSdJ1fVMMpRtQ3s7VjpNsHs3UF45CEPWIESiWMkk\nzvQZNJ1xJk1nnBlCwCIypXV3Vb505s4PMZDJoa4Tpaks85vH2H3V5RQ2vjTwhOPQcu5HaDvvgsoe\nYcMJsll6vncnftcISRKMeuuTKceysFtacBYsxO/twe/thVxpqxgwY5u20//4xuM4s2Zjt7QSXbo0\ntLBFZGqzejSiNJGUKNUZv6ebzpuup/fuHw4557jLmHHtTcQOOXTY7w2yWbMX3Lq1+F2dFLu7IfBH\nHjHSlibDsywsx8GKRAiyVbvlRCLmMfN9s5LQMp23nZmzKluRqMGbiISle+sW2gBiMey2aWGH0/CU\nKNWRzK9Xs+uqyylu3jTwRCRC60c+SupD52FFo8N+b5DNsuszl5FftwaA4rZt+Jk0xGLQN0IhttoC\nDM/3Kfb24vg+VjzWP8mWLz1elmVGleJxou4hJI8/iejSpdrMVkRClS295tupNtMqRsZFiVId8Lu6\n2P2lL9D33/815FziNa9h+nU3YXfseSrHjCStqdy24nGsrk5on0GQyex5+s3WFibDKo0UFV7eCK0p\niMWhkDe9kmIxLNuG5hbsRJzW975f9UgiUhdabZMc2S3aEnUiKFEKWfqRh9j1uSvxt24ZeCIaY9qF\nF3HQRR9nd3d2xD4Y+XVrB9y2W1rxOzsJdu9UofbesCzTDqBcj5TLEVmyFGfWbHLPPIUVj2G1tJpk\nCUwyJSJSB6ycKRWwWltDjmRyUKIUEn/3bnZf93n6fvqTIecir3kdM667ieTBS7EiESA74v1FOxaT\nHu5EuUt0efi1OmkqjZgokcJ0Lo9GIJfDikbN5ra9vaagO9WGlUpBLktk4UKKL7805NujB3WEELSI\nyFDlRMlu1ojSRNAueSFIr7yPzWeeNjRJisdpu/RK5vzHj4h2LB7TfSZOWE60Y0nltt/TDRZYicTA\nYm2r6p/cdqZWLU05MRw8Zx+JYkUj2KkUdmsr9uzZYDsERR+CgCAITNE2YDW3DHicARVvi0hdqYwo\naeptQmhEaT8q7tzB7i98jvR9Px9yLvL6I5l57Y1EDly0V/dtxeO0X3O9qVVav4788x75NS/gd3UR\n9PSa1W9BQKXvT6kQOfBHsSquEQ33O9X6Hf0iAQ52PEHsyKOIv/FYum65AYoFAhyK27YRdHfhzF9I\nbOnBJD744crjHD2oQ8XbIlJXrNJrnRWt3UJGRk+J0n4QBAHpX/yM3V+8Gn/XzoEnE0naLr6MlnPe\nU6l32VtWPE7y1BUkMaNWXetuN7VKzhbID+qTVF7ePllXvA1OiqJR8/sO1y/K9yEaJXX+x0kuP4Xt\n/3oufl9f1ZYkPj4BkaamSlJUfpxFROpNvlBg+PXRsjc09baPFbdtY8fHPsLOiz8+JEmKvuGNzP3p\n/bS++5/GnSQNVp6KC/p6TUGy4wx/4VRZOhpP7PG0HY1hNyXJPvEYhZc2YIGpVYpGwTaNJ+PHHKeR\nIxGpe8HgHQNkXDSitI8EQUDfT3/C7ms/T9DVOfBkczPTPvVpmt/2zr3ucVHdXDLasXjI9E95Km7n\nZy4l+9snCDJpU5xcHlGZau0A+npr/86WRZDNkl+/DoIAKx4vvcyYlW+W7YATIbb04P0YsIjI3ok5\npbf2KfI5eF9TorQPFDZvYvfnPk1m9SNDzkWPPYEZ11xHZO68vb7/wc0l00B65f20X3P9kGQpedIp\nZJ76/cAkaSraU2IYBFiJeGXlmt3SStDVOaAbd+SAA1WwLSIyBSlRmkBBENB3z93svuGLBD09A0+2\ntNJ+xVU0nXX2uDulDm4uCZBft4bM6lUkT13RH082S3rl/QRbNk/tJAnMFKNtm9qlwUmT4xD7uzdU\nEqH0yvsBCHq6sQp57AUHMOPWOzTtJiIyBSlRmiCFlzey66rLyT7+6JBzseWnMONzX8SZNXtCftbg\n5pKV4+vXDSgwzqxeRe7Pz6lfkmWZ/dkcxzwGQVApYreamkh94lO0nP32SiJUXj1Y3LCe9sMPoXjk\n0fiOVo+ISIOZKjWo+5gSpXEKfJ/eu39A501fMoXTVaxUG9M+czVNZ5w5ofvt1GouObjpYX7dWoJs\nVv9ZIhFIJLHyOawZMwl27wLbxp45C7s1Rf7p38PZb69cXl7VFonYTGtvZteuXvwROqOLiNSLQnnV\n2xT9bDzRtOptHAobXmT7B9/L7s9fNSRJip+2grk/X0nzm/9xwjclHNxcEoZvehjtWGxGSWybKVvV\nV9rHzo5FiR56GLHXHoE9YyaRjiXYbW1gW5VpSxGRyaC8ijqby41wpYyGRpT2QlAs0vOD79N1y00E\n6YFjO1Z7O+2f/SJNp62o8d3jZ8XjTLvyarruuI2891ciS5YSO+Rwur93F9GOxcSPOobsE4+Rf/55\nnFmz8Tt3ExQKMNnLlCwbCPqnGMt1SUCQL+DMmUd0ycEUN6wf8q2Dpy1FRBpVPKK39omkR3OM8uvW\nsuvKS8k9/fsh5+JvPpPpn/4czrT2fRpDkM2y+wufJb9uDUGhSO7p39Pn/9BMJbW04t9wLVYqZT5V\n+AHRpQdT2L4Df5gEYdKIRIksOwT/5Y34nZ1mAM33K80k7bYUhQ3rceYNv9pQe7WJiMhwlCiNUlAo\n0PO9u+j8+ldg0HCmNXMW0z9/LcmTTtkvsVRWvRV9CuvWmHgsi+KWzfg7dxDk81jd3dhtbWapezpT\nuWZSFnQ7Djg2xfVrCfJ5U5NUyJtzQWB6IbWYXbTLe7VVrxrUXm0iMqmUV/ZqZGlC6FEchfzzHjuv\nvJT8H/8w5FzirLOZfvlV2KnUfosn9/zf8Hd3Uty6GfJVCUGhYKbYgKCvFz+XJejqxGpN4XftNtdN\nxmQpEjX7taXT/W0Qyr+nbWM3NVfm7LVXm4hMeqVEyaq1I4OMiRKlPQjyebrv+hZdt3+9f4SixJo9\nhxlf+BKJ407Y53H42Qzphx8mv24tkYUHkH3sVxS3bulPkioBVyVApQLyIJslCLqwmGQLICKRyu9o\nRSMEmcLQBLDcN6l0vDxypL3aRGQyK+RzZtWbRpQmhB7FGnJ//Qu7Pv0p8n/505BzybefQ/sll2OX\npnP2FT+bYed/P8Cmr9yC39ON1dJK0NON39kF9h56IzlOfxEzYOVzZkqqfGAyqCrYDnp7h38cbBsr\nFiPyqmW0nvNujRyJyJTgl0bWE83NIUcyOShRGiTI5ej61m10f/sblaaEZda8+cz44g0k3njMvo8j\nm2XHZy8n/4dnKGzeAgTQ1QWxOOSy2C0t+F1dJsbBI0nJJrP0PZ/HKhbw4wnYtbM0LTVJMqViEaJR\n84lp8MgagGWbGq3Zc2g9590DOpaLiExmEcqj7dGQI5kclChVyf3pj2YU6W/ekHPJd72X9osuxd5P\nGXpm9Srya9cQZDKVY0E2i1UsmjqkfAEr2USQ7jPJkmVhJRImccjlCILAJEnpNHR3l+5gEiRJ5SX/\nlo3lOATRqEmUisX+xppBYFa6zZ5DbMnBKtQWkaklKBVzO3qLnwh6FDEJSNdtX6X7u98esieavfAA\nZlx7I/Ej37BfYypvU2IlEkCnGQfK580UWhAQpNNYyaRJlrJZ7FmzcFpNQXmxqxN/+zYC3ze/z542\nhG00QWB+JzsgyJWSI8cBx8FuaQHbAb9I/A1H07TiDE23iciUY6mYe0JN+UQp+8xT7LryUgprB24y\ni22TfO/7af/4xdjJ/V/2G+1YTAZwWlsp7NptOn/7vhlNiUYrSUHs1a+hsOmVyqyLsTIAACAASURB\nVKouADIZc+1kS5KqlX+vTBYiDiST2LPnYNk20Y4ltF9zvRIkEZma1B5gQk3ZR9FPp+n62pfp+f53\nhkxJ2YsOYsb1NxN/7REhRWe2Kck89AD+i+uILFhAfuNGgp5uM+VUKmC24nGiyw7Fbmoe0BcIu2oK\najKzbbP8P5Wi6S1nYU+foeX+IjLlBeURJSVKE2JKPorZ3/3WjCJteHHgCdum+QMfYtoFn9jvb7RB\nNltqJLmWaMdiEicsZ8YXr8f53ePseu4vZJ5+isyjv6rsGxcEEPT00nvvPSSXn0LsdX9HYf1aou4y\n/K5u+n589+ROlCwLKxYzXzsR7OkzSJ37kXBjEhGpB+URJVvbuU6EKZUo+b29dH7lRnp/8P0h5+wl\nS5l53U3EDn/Nfo8ryGbZ9ZnLKqNCaSC98n5mXvclpr3lLQTHLmfH124h+/snIZs1+U8uC0GAv2kT\nvT/4d3AcoksOJvvYo+TXr528U27DsOJxbUEiIlJilz4ka0RpYkyZdDP9+GNseesZQ5Mkx6H5X/6V\neff8LJQkCaq2JKmSX7eG9COPVG7HDn4VzvwF2LNmYTn2wI1fS125i9u2Uty2FbLZ/hVgjWTefIjH\nzea20agp0h6BFY8Te/VrtbJNRKSs/P6gYu4JMSXSzQ0XX8yO731vyHH7VS4zr7uZ2CGHhhBVv/IK\ntyHH1/cfT5ywnPTK+8mvW4O/c1fVMvn+hMi0Eggad8pt5w7smbNwZs3CmbcAy4Lc2rUUvb8MudRZ\ndBDxw19D4qSTSZ5ymmqSRERKrOoP0jJuUyJRGpIkRaK0nHcBbeeeVxcNuaIdi0kPd/ygxZWvrXic\n9muuJ/3QA3Td/jUK69cPmX+2EnH8cs+kRpTNEmTSROYtYPq1N2LF4/hdXWw++83427aaBNCysGfN\nZs5//vd+3V9PRKRR+MkkdjpNcevWsEOZFKbM1FuZc8ihzLnnp0w7/6N1kSSBGS2KdiwZcCzasYTk\nSScNuTbzyMMQjYFjm0aT5UaLkQhWPDGkm3jDKRQobFhPZvUqAOxUirk//jkt//S/iR91DC3/9L+Z\n++OfK0kSEamhWO6p9/JLIUcyOUyJESUAolFaL/gEqQ98qO4K3MqjRYN3tLfjiQHXZVavIr/mBYK+\nXqy2aaZfUhAQO/LvaVrxFtMw09oC1kjTb/W7RW6Qz1Pcto30yvsry/ztVIppF18edmgiIg2hN9nE\nNCD7uycJclmsmEoTxmNKjCgljz+eBT+9z0y11VmSVFbe0T517kdInrpi2Jqb/PPPU3xlo5mG6ukm\nyGahWMBubia5/BTTZ8kvjqJGadDecPUklyPo6iT77FPs+sxl5ncUEZFR23ngIgD8nTvou+8XIUfT\n+KZEorTsxz8munjJyBfWOb+vp5I4BPk8FPIE2SzZJx5n+/n/THHnjrEVcluWWV1WT8mS40A8jtXS\nSn7dmsoUnIiIjE7rIYdiLTwAgJ7v3kGQy4UcUWObEolSPQqyWdIr76PrjttJr7xvdCMnsTjYtkmS\nyn2SLIvAdiisecHUJw1aCVeTZZk/g/a2C00kgjVjJs7s2TjzF1S2ZMmvXxdyYCIiDcaycN7xLgDy\n3l/puvWWkANqbPU5DzXJ1Wowuaf9yYJsltyTTxAUS1NrpRVgRCLYiTh+rpRoRaMmiSoUzDW23X/9\ngDusuo/ynzCbVCaboJDHapk9YN86NZIUERk758y34jz6K7JPPE73Xd8ifsxxJN54TNhhNSSNKIWg\nVoPJPU0zZVavIujrMyvbrKp/NsfBamnFamk1SVF1IlWt1ihTEEx8gjTmtvkWdmurKTHv6W9vEO1Y\nokaSIiJ7wXIcpl9/M/a0dggCdl1xCX5vb9hhNSSNKIWgdoPJdSSHOe5nM/StvI/i9m1m2s2iP/Hx\nfQLfxwoCrESCIJ2Gom/OO475O58fOajByZJtD59A2Y4pGN+TMTe8DAiAyPyFRJcsJXLwq7S5rYjI\nXtq2axfNO3fA9Bk4F12Kf9VlFDdvYsuN1xG94MIB106fPh1be8LtkRKlENRuMDl0msnPZNjx6cvI\nPfsM/u7dUMib5CcWAz/AiieIzptPrudv5hsiEQjy4FsQT5jr90atUaaRkiTYu87gXV3Q3k7y1NNJ\nnLCczOpVdH/vLiKlgsTCxpcqmwUDpB96gPQjDxHk8pDLUuzpgUwGq6mZ6KsOJsjkyDy6miCbIXLg\nIpKn/QN9P/sfii9vJHLAgcz48q1EFi40tWIPPUDvT39C9onHTcsFJ0L0iCOIHNTBS79eTXH7dhNj\nqg2rrY3gpQ0D+1U1N5ttY6o3onQcrNYU9qzZFLdugV07hz6mVunfKAgg4piEtny/g6+NRCBmWiU4\nRxxJ/rFfQefuER/W9eXvTSSIHXoYuW3bYMOLA2vTbNtcU65ZKxT6C/2TSejp6e/XZVmlLWYiJvau\nzv5/70Sif8rX9/uPl++/XFBa3nbH3AC76nZ5OrilBbJZ1hcK5udZ1vDPZceBWAx79mxiyw4letir\n6f7unbC71L0+1WZiKRawW1PEjjkef9Mr5J/7g9kf8bDDib/6dTjz59P3i5+Tf/r3BEEATU3m9+/s\nhGIBq6mJYMZM2LYNKxohuuwwiMfxN6yHSJT4G48m9c/nkX3yN6QfWklh8yaCfJ6N27ZQzOexmppx\n5szFaWsj8qplxA85dNgPAsNtjl19zUjnRQASiSTRX66it1R6YS9ZirXmBQo/+iG5RAJmzQags68P\n3vVeZs6cGXLE9c0KGnW7i7EJdu3qpVCoj41iB9cogZlmGlyjFInYWI+u4uWbv0xQ9CmsW9Nf9B2J\nmIaZTc0E2Qz09jb8RrjJM86k/apr2P2Fz5rHxg8ovrKRACoF3pFFHQSFAtknHjNbtuRye5eYOQ5z\n7r2Prtu/Rnr1KpMMyNRk2+AHjKu3mG1DNIYVixH09uz5/2I0irN4CfGD3QH/50d6XRjt68ZEiURs\n2tubqafXzrFo5PhLse/1cuTfXX9zMKO1tXLb372brq/eDIFP4pTTSBx/IgA7urtpPuvsKZ0ozZrV\nOuLjrBGlENRqMDnci13mhRfMF7aFPXMWxS2bK4lBUCyaUYViseGTJIDkyW8i+8RjlTcCv9wrClO7\nZKXayP3xWYK+XjOCUxhNz6gaikW2f+RDQKAkaaqbiP87vg/ZDEF+FIl7oUCwfRv5SITM6lUkT10B\n7Ll2MXnqihHPi9RiT5tmRnXzuUnxXrG/KVEKSbnB5HA1SdUSS5dWvrZbWvF37jDJQwCWY1oDTJYn\nfuHljQPeZKpbJgTZXOVYkCkdD8b3exe3bcFOtY3rPkQGGG4hxXCXlZ7D1XWJI9UujrW2UaQsKBSq\nWsqEG0sjUqIUslo1B0E2S+9Dv8TZuA4rkSTo6aG46WUC3+8vtLZtrLZpBFu3mDsbUPvReMo1WuX6\nLSser0yGWPFY5RjFAkFvqXaFvU+WnFlzqNetXKRBlRdZjPD/0EqY0ePqusSRahfHUtsoUi2zehUU\nTf2jM3tOyNE0HiVKIarVT2nalVez+wufpbB+LY5j4+cLBLksxOI4qRRBEBBs326m3nbv6v+k0MBJ\nEtBfqL3yfvLr1mC3tBJ0dRKAaX8AxF792kqNkika3svpN8dh5jfuNDVKu3Zq+m0q2xc1Snt6TkYi\nWDNnDWl/kThheeW5X1Z9zUjnRco2bd9OEARYlgVbt2D/erVpv3LgIrrmL4Ru04als6+P5nBDbQgq\n5g5RuTP3YPGjjib7xONYloXj2BSLPoWtW7HiMexUG4HvU3zlZYK+vqFNJQsFs2KovCJpNK0B9jXL\nMm0FHBs71Ya/fduQSxY8/ZcBRa3l+q3IgoWAmZYr13JBedXbw6YmJJul2NsL6TRWcwvRg5eaVW+P\n/Yogkx646u2VjUQWDrfq7V6TfA1a9ZYb1aq3Fshmhq56S6WwZ46w6i2RMG/S5fqBch+sCVr1Vvne\nhlr1ZkNLaSVhedWbXaPNRWnVmzN7DrFlhxI57PChq96CAAr5gave/vQHsCNEDzuM+GuOwJk3z6x6\ne+YpgsA3DVBjMdhtagCtpqRZ9bZ9O1YkQnTZoZBI4L+4HiKRQaveHqSw+RXTymP7VrPqLdmEM3ce\nTipFxD2E+LJD9rzqrUbt4kjnJ1IjF0NDY8c/3mLuf/vXjwcHv/ufaE8kyf3LBwheXGdeA/7th9jz\nFwy4dqq3BxhNMbcSpRCVty8pC3zfNFws9SqyW1NEohGKRZ9iZydBNoszaxYAfqFA8aUN/W+sWGZo\ntVgsfbqNmjeZ6jes/c7qnw+PRHDmzmXaxZdXlv/X+xLnRn6hBcUfNsUfrkaOf7yJ0gNXfi5Y+O73\nYX/pGtL/72cATPvM1bS8658mLMbJQqve6lx1zUF5lIhsFqu5Gb+rG3/bNpg9G6ulFbulFWv2HIJM\nmsD38TdvMkOp5e1KoD8h8n3zaXyfsBjVFEV5K5XKKItD7PDXEj/qmDFv3yIiImNTvPcesqUkKfnm\nM2k+570hR9S4pu54Wx1InLCcaMcSoLR1R9bUIZlNb4sE2Sz5zZspvPwykY7FzLzt26Q+fD6RgxZj\nRaJYzS39d7YvRo1isYFbn1jWnldMRCLQ1oazYCGRxUuJzJuP09aGnUrR/M53Mf3aGwcs/y8bafsW\nEREZg3yOwl3fAiCyeCntn7vW1CvJXlGiFKJyP6XUh88ncuBB2LNmY6dSppYjGoVIFCsWg4hDYdMr\n7PrCVfh9fRTWvIDf24O/e1d/TciEBmb115U4Tv9x2zZ/hiRPpsN0y/s+wPz7f0n8iL/DijjY06YR\nW7SI5InLmfaJT2HF43tc4iwiIuOX/NNzpqs8ZsrNblbJ9nho6i1k5X5KYGqWittMobMF4NhYvo+/\nezd+57MU/vInMg8/SFD0923jsHJheF9fVaAWViyO1d6Ov+mVIcmSPWsmdts07FSq0kyzuGE97Ycf\nQvHIo/Eds7xfS5xFRPat5LNPAxB7/ZHE3/DGkKNpfEqU6kR56a/f1dVfAWTb+Pm8SYgi5p8qyOUG\nrrjaXxwHAh/Lts3qpmy2f3QpmcRuTVWSnXLyF4nYTCsVU/qlYkotcRYR2becTAaAlvd9QFNuE0CJ\nUp0oT8OlH3qA7ju/id/bYzpT79xJUFpuDox+mq28BHtwE8rqVgLl60Zzv8UiRCIEuRzRRR0EuSx+\nTw9WPIbV0kpsycGjSnbGsn2LiIjsvfgRR4YdwqSgRKmOWPE4TWecSfKU08isXkX6oQfIPf4oha4u\nKBbNrubVCU6t5MayTGI13MiT71OpyLZtiEQhN/oVclY8TnTpwUy78mpTmL0Xyc5ot28REZG948yZ\nW2knI+OjRKkOlROJ5pNPpvPTn6LzF7/oT3osy0zDRaKlBoU+ZuM3q5IgWbNmE5k1m/yfnxu4RL/8\n/eVtUEqN+EYlkSSyaBGtHzqP5CmnKdkREaljzrz5YYcwaShRqmN2PMG0t7yF3qeexu82tUt2Syt+\ndzdWayuWbVHs7IRMBivVhp1MYLW0Ytk2Lee8h65bb6G4ZXPVHdr9I1HlRKm6Q3Mt0Sgt7ziHtgsv\nmZApslr724mIyMSw27Th90RRolTnci++iD1tGlbVk95OtRFdspTIwa8ismAh6YdWUtiwHjANKK1E\nkuLLL5O64EL67vs5ud89iZVIEFiW6ddUrl2KRAALAr/2rue2TeLEkyc0SVLDSRGRfau8P6aMnxKl\nOhdbtAi/sxM/m8WKx7FbWsG2SJ56eqWtQLmmKffC82Qf+zVBXx/pVSsBiCzqIHHCSRQ2rMfv6sLv\n6YbmFqxUK+TypWm8iFnyP8xeWva0dtPLaYKYkaThG06Wfx8RERkfffCcOEqU6pifzdD1i1+YlgHZ\nDAEQdHUSf+OxBPk8XXfcXpm6KicZmYdXmg1ESwovrqP1A+diRaPkX3iBzGO/wu/rxbJts7dcVxd2\nUzPMnoO/ZfOAjV2tpmacOXMpvLhuwhKZPTWcVL2TiMjEmMgPuFOdEqU6ln7kEbJr1+IsWGBqlLKm\nY3dh6xa6v/ttcw39U1e1kpDCyxtJnfsRkqdC6wfPrSzN9zt3k338MbAtnGnTcFJtFF7ZCJjpvfLo\nFUxcIqOGkyIi+54ViYYdwqShLUzqWHmKyrJt7FQbzqxZpoD75Y1DrsusXkW0Y/Gw91OdhJRXq6XO\n/Qh2qm3A6BO2hZ1KYcUTZiuVqnMTlchU729XuW81nBQRmVjqMzlhNKJUx6IdSxjc4SjI5rBisdJ0\nXKluqbmF9Mr7cQ7qwEokCfr6KknOnpKQ4UZ3rJZWnNnNBJl01XUTl8io4aSIyH6gjtwTRolSHUue\ndBKFXz5I71+9yrHIgoXk17xQaRIZAMXNmyh2d+GsW0Pg+9hNzSSOOZ7o0qV7TEKG204ktmR8zSRH\nQz2YRET2MSVKE0aJUh2z4wkO/MpXeOUnPye7dg3Rgzrw+/rYff01lWuCom+6dhPgd3USZHMEPd1E\nFi0asfh6T6M7SmRERBqZEqWJokSpztmJBM2nryBe2lS2647bceYvIOjpNsXdmQxBJk2wfQd+eds2\noPvOb1Y6aO+JkiIRkUlII0oTRsXcDSbasXhAcbfd1mYaRfoDO2z7vb1kVq8KKUoREQmVEqUJo0Sp\nwQxeNWa3tGIlk2YT3JJyY8r8+nVhhCgiImFTojRhNPVWp4Jslt6Hfkl280sU5h5A7LgTseLxYeuK\n/L40Xbd/tX8VXKn/kXoTiYhMUcqTJowSpTpU3g+tsH4tjmNTLPpE7v9FZT+0wXVFQTZL9tHVA1av\nqTeRiMjUZWlEacIoUapD5f3Qqp/oe9oPTb2JRERkICVKE0WJUh3am/3QtHpNREQqNKI0YVTMXYdG\nsxWJiIhITUqUJowSpTqk/dBERGRclChNGE291aFyzVHu178ksmUjhTkLK6veRERERqREacI0VKLk\nuu5twKGe5036oRUrHqf59BW0tzeza1cvhVJnbhERkREpUZowDTP15rruMcB5mB06RERERPa5hkiU\nXNeNAt8CHgs7FhERkbqnEaUJ0xCJEnA58CzwYNiBiIiI1Ds1nJw4dZ8oua67DDPl9omwYxEREWkI\nSpQmTOjF3K7rJoAFNU5vwky5XeV53jbXdfdfYCIiIo1KidKECT1RAo4CVjF8kfblgO153p3j/SGO\nU/eDZ0OUY27E2EHxh03xh0vxh6uR45+ImO2IQyTSeL97PbKCoH4Xkbmu+zBwNFAoHYoBDtCHaROw\ncZR3Vb+/pIiIyFB7PST09KxZwbwrrmDuJ1SxMgojPs71MKK0J++BAduXfRx4A/Bu4JWx3FFXV5pi\nsbF6ETmOTSqVbMjYQfGHTfGHS/GHq5HjL8c+HulMnl27eicoosmrvb15xGvqOlHyPG9T9W3XdXcC\nac/z1o31vopFv2GbNjZy7KD4w6b4w6X4w9Xo8e8Nq7WV2NHHTbnfe1+p60RJRERExmb+r3+HFY2G\nHcak0VCJkud5V4cdg4iISD1TkjSxVBIvIiIiUoMSJREREZEalCiJiIiI1KBESURERKQGJUoiIiIi\nNShREhEREalBiZKIiIhIDUqURERERGpQoiQiIiJSgxIlERERkRqUKImIiIjUoERJREREpAYlSiIi\nIiI1KFESERERqUGJkoiIiEgNSpREREREalCiJCIiIlKDEiURERGRGpQoiYiIiNSgRElERESkBiVK\nIiIiIjUoURIRERGpQYmSiIiISA1KlERERERqUKIkIiIiUoMSJREREZEalCiJiIiI1KBESURERKQG\nJUoiIiIiNShREhEREalBiZKIiIhIDUqURERERGpQoiQiIiJSgxIlERERkRqUKImIiIjUoERJRERE\npAYlSiIiIiI1KFESERERqcEKgiDsGERERETqkkaURERERGpQoiQiIiJSgxIlERERkRqUKImIiIjU\noERJREREpAYlSiIiIiI1KFESERERqUGJkoiIiEgNSpREREREalCiJCIiIlJDJOwA9jfXdW8DDvU8\nb3nYsYyW67qzgNuBU4E+4PvAFZ7n+aEGNkqu67YBNwNvwSTnPwcu9DyvM9TA9oLruvcD/+F53vfD\njmVPXNeNY54zZ2OeMzd7nvflcKMau9Lv8TvgXz3PWx12PKPhuu584GvAcsxjfzdwued5uVADGyXX\ndZcAtwHHAjuAWz3PuyncqPaO67o/B7Z4nvfBsGMZLdd1/z/gx0AAWKW/7/E87x2hBjaFTakRJdd1\njwHOwzzxGsl/AK3AUcDbgXcBnwo1orH5FvBqYAVwGnAIcEeoEY2R67qW67pfB94UdiyjdBPweuAk\n4Hzgs67rnh1qRGNUSpJ+CBwadixjdA+QwCQa5wBnAteEGtEoua5rYT7IbAFeh3m9vNJ13XNCDWwv\nlGL+h7Dj2AuHAv8DzC39mQd8KNSIprgpM6Lkum4U84b9WNixjIXrujFgM/A5z/PWAp7ruv8FHBdu\nZKPjum4TZlTjGM/znikduxBY7bpurBE+ZZdGCP4d6AB2hxzOiEqP+T8Dp3ue9yzwrOu6NwAXYD6p\n1j3XdQ8BfhB2HGPluq4LvAGY43ne9tKxq4AbgUvDjG2U5gBPA+d7ntcLrHFd9yHM681/hhrZGLiu\n2w7cAPw27Fj2wiHAc57nbQs7EDGmTKIEXA48CzwPnBhyLKNWSiTeV77tuu5hwD8C3wwtqLHxMVNu\nz1YdswAHaAF2hhHUGL0e2AC8Dfh9yLGMxmsx/7cfrzr2a+CKcMLZKycCDwFXYqavGsVmYEU5SSqx\ngLaQ4hkTz/M2Y0asAXBd91jgBMzIUiO5CVOisCDsQPbCocDKsIOQflMiUXJddxnmP/prMdMQDcl1\n3UcwL1q/w9Sf1D3P8zLAA4MOfxz4g+d5jZAk4Xnez4CfAZgBg7o3D9jueV6h6tgWIOG67gzP83aE\nFNeoeZ5X+SDQII85AKW6u8qbXGkq6wLgwdCC2kuu664HDsA89xtiJBLAdd2TgeMx0/2N8oGymgus\ncF3305gPlD8CrvI8Lx9uWFPXpEiUXNdNUPuTwybMlNtVnudtq8cX3ZHi9zyv/In6o0A7cCtmGPys\n/RDeiMYQP67rXoAZmTl9f8Q2GmOJv0E0AdlBx8q34/s5lqnuRkytz5FhB7IXzsbUyHwTuAXzAaeu\nleravomZOszW4+v9nriueyCQBNKYetQO4OuYmrdPhBjalDYpEiVMkfMqhi/SvhywPc+7c/+GNCZ7\niv+tmMI+PM/7I4Druh8AnnRd90DP8zbstyhrG1X8ruueD3wV+LjneQ/tv/BGNKr4G0iGoQlR+Xaj\nJX0Ny3XdLwEfA97hed5fwo5nrDzPewrAdd1PAP/uuu4nB41S1qPPAU96ntdwI3gAnudtKI36lmsh\n/+C6rgP8H9d1L/I8r9EWIk0KkyJR8jzvl9RYwee67sPAka7rdpcOxQDHdd0uTJuAjfspzJpGiL/V\ndd13eJ53d9XhP5f+nompnQnVnuIvc133Ykxx5Sc9z7t1vwQ2SqOJv8G8DMx0XdeuaiExF0hXvQDL\nPlRaIfkvwHs8z/tJ2PGMluu6s4GjPc+7t+rwnzGvmynqv6bwncCcqtf7OIDrum/zPC8VXlijN8z/\n0b9gRpSmY9o1yH42md4cankPcBimPum1mGHZJ0tfvxJiXKPVBPyn67pHVR07EigAfwsnpLFxXff9\nwJcwI0lfCTueKeAZIA+8serY8Zjnvexjrut+Fvgw8E7P834Udjxj1AH82HXdeVXHjgS2NUhN4YmY\n2qTy6/3/APeWvq57ruue5rru9lI5QNkRwI5GqC2crCbFiNKeeJ63qfq267o7MZ+s14UU0ph4nrfF\ndd17gFtd1z0X00/p28DXPM/rCTe6kZWW6X4d+B5wt+u6c6pOb2uUppmNxPO8tOu63we+6bruB4GF\nwCeB94cb2eRXamtwJXAt8Fj1893zvC2hBTZ6T2IWi3zHdd2LMInTDcAXQo1qlDzPe6n6dmlkKWiU\n13tM+5o+4E7XdT8PLME8/l8KNaopbiqMKE0GH8Qsr38A08zup8BloUY0eqcBzZg36VdKfzaV/l4Y\nYlx7q1FqBC7CtDJ4GJOofmbQdEojaZTHHEzrDhuTLA1+vte90geXs4BezJv2HcAt9TZdPlmVPvye\nDszCJK3fBr7ped7NoQY2xVlB0EivQSIiIiL7j0aURERERGpQoiQiIiJSgxIlERERkRqUKImIiIjU\noERJREREpAYlSiIiIiI1KFESERERqUGJkoiIiEgNSpREREREapj0e72JTHau664HDgQu8jzvlmHO\nfxOzSevngBeB73ie54zifhcB6zBbiFjDXBIAV3ue9/m9jV1EpN5pREmk8QVADnjb4BOu6zrA2UB5\n8+H/BOYNvq6GDcDc0vVzgZuBl4A5VcdvGk/gIiL1TiNKIpPDg8AK13Xne55XvQHryZgNTnsBPM/L\nAltHc4ee5wXV17qu2wMUPc/bNmFRi4jUOSVKIpPDb4FDMKNKX6s6/k7MKNI5AK7rvh/4rud5dum2\nD/wz8G7gWGA38A3P864Zyw93Xfcw4EbgBKATk7hd4nne1tL5XwG/xkwRnlW65rPAX4FbgYOBp4D3\neZ63znXdJcDzwHuBK4DFwDPAJzzPe2IssYmIjIem3kQmj7uBt5dvuK4bBd6KSZSqBYNu3wR8B5No\nfR242nXd40b7Q13XXQCsBv4EHAGcCcwEHnVdN1516SeAJ4DDgZ8Bt2GSpAuAE4EDgGsH3f3NmNqq\n1wMvAA+6rrtwtLGJiIyXEiWRyeNHwDGu65ZrkE4Htnie9+wI3/dvnuf90PO8Fz3Puw4zqnTsGH7u\nvwJrPM+7xPO85z3PewozkrUQ+F9V1z3ped7XPM9bj0mSosCXPc/7ted5vwP+C5NEVfui53n/5Xne\nXzEjX53AuWOITURkXJQoiUwSpQRlLf3JyTuAH47iW/866HYnEBvDj349ccxjtwAAAY9JREFU8DrX\ndbvLf4BNmERoWdV1L1R93Vv6e23VsTRQPQIF8Ej5C8/z8sDvgVePITYRkXFRjZLI5HI38HbXdb+N\nqQU6chTfkx3m2HDtAGqxgZWYKbTB37er6uv8MN/rD3OsLBjmexzMCj8Rkf1CI0oik8vdwHHABzDT\nYc/vh5/5HKa+aYPneWs9z1uLGZX6KnDYOO7XAv6+fMN13QRm9Or347hPEZExUaIkMomU6pGeB65n\naBH3vnIbMAP4D9d1X+O67hGYeqnXYwq8x+M613VXuK57KPBdzHTeneO8TxGRUVOiJNL4Bq9iuxto\nZWCiNPiaPR2vde2wPM9bA5wEtAOPYloDdAHLPc8rT73t7c+5HbgF0/5gBnCi53nbxxKfiMh4WEEw\nptdEEZF9rqqP0nGe5z0WdjwiMnVpRElERESkBiVKIlKvNNwtIqHT1JuIiIhIDRpREhEREalBiZKI\niIhIDUqURERERGpQoiQiIiJSgxIlERERkRqUKImIiIjUoERJREREpAYlSiIiIiI1/P9GMX8pTA6K\nmAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f015320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Correlation is taken from Pearsonr value, 1 is totally correlated.\n",
    "sb.jointplot(X_scaled.loc[:,'MinTemp'], \n",
    "              X_scaled.loc[:,'MaxTemp'], kind=\"regg\", color=\"#ce1414\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.4 Correlation Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,\n",
       "          9.5,  10.5]), <a list of 11 Text xticklabel objects>)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABTgAAAXjCAYAAADzEFQXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzs3XmczWX/x/H3mTNzZsa+jC1EtstO9OtOKkK7SiptSJS6\npUhJKRWlIhSptNlS2lV3unOXShIt9rFcY2tDmGEYzDlntt8fM6ZZMceZc+bMvJ6Px3lwrrmOx5uL\nOef7cX2vjyMjI0MAAAAAAAAAEIrCgh0AAAAAAAAAAHxFgRMAAAAAAABAyKLACQAAAAAAACBkUeAE\nAAAAAAAAELIocAIAAAAAAAAIWRQ4AQAAAAAAAIQsCpwAAAAAAAAAQhYFTgAAAAAAAAAhiwInAAAA\nAAAAgJAVHuwAOWTc5WgY7AzIMiPjN0nSd2d1Cm4Q5NL11+VK2bMj2DGQQ0StMyRJ2+OTgpwEOTWK\nqSjPEdakJIksX1GSlPbn+iAnQU7O+m1YkxLGWb+NJGlKxWZBToKcRiTFac21lwQ7BnJo/9EiSZI3\ncW+Qk+AYV5WakqTU3VuCnAQ5hddpKkmOYOcoae5yNMwIdoaSaEbGbyH7d4UdnAAAAAAAAABCFgVO\nAAAAAAAAACGLAicAAAAAAACAkEWBEwAAAAAAAEDIosAJAAAAAAAAIGSVpC7qAAAAAAAAQLFyhmyv\ncBSGHZwAAAAAAAAAQhYFTgAAAAAAAAAhiwInAAAAAAAAgJBFgRMAAAAAAABAyKLJEAAAAAAAAMoM\np4MuQ6UNOzgBAAAAAAAAhCwKnAAAAAAAAABCFgVOAAAAAAAAACGLAicAAAAAAACAkEWTIQAAAAAA\nAJQZTnoMlTrs4AQAAAAAAAAQsihwAgAAAAAAAAhZFDgBAAAAAAAAhCwKnAAAAAAAAABCFgVOAAAA\nAAAAACGLLuoAAAAAAAAoM5wO2qiXNuzgBAAAAAAAABCyKHACAAAAAAAACFkUOAEAAAAAAACELAqc\nAAAAAAAAAEIWTYYAAAAAAABQZjjpMVTqsIMTAAAAAAAAQMiiwAkAAAAAAAAgZFHgBAAAAAAAABCy\nKHACAAAAAAAACFkUOAEAAAAAAACELLqoAwAAAAAAoMxwOmijXtqwgxMAAAAAAABAyKLACQAAAAAA\nACBkndIt6saY8pKaSEqXtMVa6/ZLKgAAAAAAAAA4CT4VOI0x0ZJelnSTJFfWcLIxZqakEdbaFD/l\nAwAAAAAAAIBC+bqD81VJHST1lPSrJKek/5P0vKRJkob5JR0AAAAAAADgR056DJU6vhY4r5bU3Vr7\na46xL40xByUtFAVOAAAAAAAAAAHga5OheEnVChh3SjrkexwAAAAAAAAAOHm+7uB8StKbxpjxkn6U\nlCKpfdb4LGPMuccmWmt/POWUAAAAAAAAAFAAXwucb2b9+HIBX3s86yFJGcrc1QkAAAAAAAAAfudr\ngTPCrykAAAAAAAAAwAc+FTittWnGmCqSGkuKzPPlDGvt8lNOBgAAAAAAAPiZ00Eb9dLGpwKnMWaI\npOdV8E5ObksHAAAAAAAAEBC+dlF/XNLTkiops8iZ8+HyTzQAAAAAAAAAOD5fz+CUpPnW2sN+SwIA\nAAAAAAAAReTrDs7xkp41xtT1ZxgAAAAAAAAAKApfd3DGShor6Q9jTLoyz93MZq3lNnUAAAAAAACU\nOL7u9kPJ5WuB83VJiyXNlpTstzQAAAAAAAAAUAS+FjhrShpprd3hzzAAAAAAAAAAUBS+7sqdK6mv\nP4MAAAAAAAAAQFH5uoMzWtIjxpiBknZISs35RWvtxacaDAAAAAAAAABOxNcC505Jz/kzCAAAAAAA\nAAAUlU8FTmvtGH8HAQAAAAAAAIqb0+EIdgT4ma9ncMoYc4MxZoUxJt4Yc4YxZrIx5gF/hivJwl0u\njVn3pZqcf3ahc+q3b6UHly/Q1MMbNWrFJ6p/ZqsAJixbHBERMmNGq/M3i9Tpi89U75YbC5zXbsZ0\ndfl5Wb6HefThACcu/bxer8Y8O0XnXn6duvW+RXPe++iEr1m1LlaX3nhbANKVbVvjNmv4HQPUq/t5\nGn7HrdpqN5/U66Y++5Tenvl6Macre7xerx4fO06du1yoHpdcprnz5hU6d9Pmzbql/wCdfe55urn/\nrdq46eTWDkXn9abo0Ukv65xet6rrDYM1+8P/FDp3yYqV6n3nAzrryr665s4H9O3yXwOYtOxgTUom\npytCF780XkP++EWD7VJ1GFr4+3iDbp3Vd9mnGrprlXp/MlNVmjQMXNAyxBEeofpD7lPrOR+q5Wtv\nq8aVvQudG3V6QzV5crLavvOpzORXVKFV2wAmLTu8Xq8ee+pZndvjMnXveY3mvPPuCV+zas06Xdb7\nhgCkK7u83hSNmThVnXreoAuv66/Z7y844WtWrtugS2++PQDpABSVTwVOY8xgSVMlvavM8zgdktZJ\nGm2MedR/8UqmcJdLg+ZPU52WTQudExEdpbsXztSWJT/p6Q49tX35Kg1dOEsRUZEBTFp2NB5+jyo0\nN1pz592Km/CcGt4xSDEXdsk3b8MDD+nHS3pmP2IfGKV0b4p2fnDi4huKZtLLb2jTlm2aOW2iHr1v\nqF6Z/ba+WvJDofPjtu3QiMfGSxkZAUxZ9rjdbj3+wHC1ObODps+cp+at2uqxkcPk8biP+7oP3p6j\nRZ9/GqCUZcvk51/Qps2bNfP1V/XIw6M047XX9fXib/LNS052a+i9w3VWxw567515atemrYYOGya3\n+/hrB99MfHWuNm7ZrtmTx2rMvbfr5bkf6KulK/LNs9t/07Cxk3Td5d214NXJ6nN5Dw0fN0lx238P\nQurSjTUpmS4Y/5Bqtmul9y/vp8UjnlCnh4aqyVX5j+Ov3ryJen3wqrb+5yvNO/8a7Vu3Udd/Plfh\n0VFBSF26nXbrHYo+o4m2Pvag/np9umpf31eV/9U537yw6HJq/NjTcv/5mzbfd6cO/rRMDR98TM6K\nlYKQunSbNO0lbbJxmvXyi3pk5AjNeGO2vv52SaHz47Zu0/2jxyiDz8XF6rlX3tTGuG2a9cIzGjN8\niF6ZM19fff9jofPjtv+mEU88y7oAJZSvOzjvk3SHtfYFSemSZK2dI6mfpMF+ylYi1W7eWA+uWKDq\nZ9Q/7rz/u/FKeY8ma8FDz2pP3HZ9cN84uZMOq8P1VwQoadkRFhmpOldfqa3PTdGRLVuVsGSp/pg7\nT3X7XJdvburhw0o5cCDzkZioRnffpT/nvqXDNi4IyUuvZLdbHy9cpIfv/beaN2mkbud30m03Xa/5\nHxe82+b9Txeq3933K6Z6tQAnLXuWfL1IkVFRGjTkXtVr0FB3Db9f5cqV19Jvvi5w/tEjR/TUIw/q\nw7fnqkat2gFOW/olJ7u14NNPNWrkSJlmzXRh164a0L+/5r/3fr65Xy5apKioKN037F6d0bChRo28\nX+XLldf/vi547eC7ZLdHH3+5WKOHDlTzxg3VvfPZGnjD1Xrn0y/zzV34zTKdc2Yb3Xz1Zap/Wi3d\ndPWl+le71vpySeEXSCg61qRkCo+OUuv+1+nbB59SfOxmbVu4WL+88LraD74l39y2g27SrhWrtOLZ\n6Urc9ruWPjZJnkNJanHDVUFIXno5XJGq3v0S7Zz5ity/b9ehX5Zr76cfKOay/H/O1S68SGnJyfrr\ntRfl3fO3/n5/njy7dqpc42ZBSF56JbvdWvDZQj00YphMsybq1uV83dbvZs3/4OMC57//8afqf8cQ\nxVSvHuCkZUuy262Pv/hKo+8dnHm9ct45GnjjtXpnwecFzn//s/+q79CRiqlWNcBJAZwsXwucDSTF\nFjC+VVKM73FKvqZdzpFdvEwTO/WWjnNmQ8N/naltP+S+HWrbspVq1KlDcUcscyo0ayqH06lD6//5\nK3lwzTpVan38IwFqX9VT4RUr6Y85hd8OCt/YrduVmpamdq1aZI91aNtK6wu5nXbZzyv1zCMj1e+6\nXoGKWGbZjbFq1bZ9rrGWbdppU+z6Aufv2b1LqSkpenHm26pd57RARCxT4uLilJqapnZt22SPdTiz\nvdbH5n+LXR8bqzPPzL127du109p1Ba8dfGe3/6bUtHS1b2myxzq2bq51m7fkm3vNJV014vb8xZyk\nI0eLNWNZw5qUTDXaNFdYuFO7flqdPbZr+UrVOatdvrmVz6iv3b+uyzUWvyFOdc5un28ufBfdsJEU\n5tQRuzF77PCmWJVr2jzf3Aqt2urQL8tzjW15eJiS1nCkgz/ZLVszPxe3+efa5Mx2bbR+w8YC5//4\n0896+olH1ffG6wMVsUyy23ZkrkvLHNcrbVpq/SZb4Pxlv6zSs6PvV7/rrg5URABF5GuB82dJfXM8\nP7ZH+z5Jv5xSohJu6atv66ORTyvV4znuvMp1aihx155cY4f2xKtqPXZA+ZsrprpSEhOVkZaWPZaS\nsF9hLpfCKxd+i83p/W/RX++8q/QTrCWKbl/CflWtXEnh4c7ssepVq8rjTVHiwUP55k8d/5i6nd8p\nkBHLrP3x8aoeUyPXWJVq1RS/b2+B889o0lRPTHxeNWvzvas47IuPV9UqVRQe/k/Pv+rVqsvr9Sox\nMTHf3Bp51q569Wras6fgtYPv9iUcUNXKFRXuzPk9rErW97CkXHPPqF9XzRo1yH6+5bc/tWL1enXq\nwDl2/sSalEzla9dUcsKBXJ/BjuxLkDMqUlHVquSae3RvvCrUqZVrrGK92oquzm4of4qoWk1pSYek\n9PTssdSDiQqLiJCzQsVcc101ayv10CHVu/NetXrjHTUd/7zKmZaBjlzqxccnqGqVynne66vJ4/Uq\n8eDBfPNfmDBe3bqcH8iIZVLm+0re65UqhV+vPPmIup13TiAjopg5HTwKeoQyXwuc90q6yxizXFKU\npBeNMXGSrlFmkbPMc5WLVqrHm2ss1eNVeKQrSIlKL2dUlNK9KbnG0lMy/+zDIgr+867SsYMia9TQ\n7k8+K/Z8ZZHb45ErIiLX2LHn3pSUgl6CAPF4PIpw5V6biAiXUrzeQl6B4uR2uxXhyv196tj65P23\n4nZ75Cpo7VJYO39L9ngL+B6WeWF6vO9hBw4e0vCxz6ljmxbqdu7/FWvGsoY1KZkioqOUlufz7rHn\nzjzf2+xHX6jZNZfqjEu6yhEWppY3X6PaHdrImWddcWrCIiOVnuffREbW+4Qjz5+1MzpaNXv1Ucr+\nBG178lEd3rRejcc8rYhq3BrtT8lut1x5rkmOvZ97vXwuDha3u4DrlUI+gwEIDeEnnpKftXadMaap\nMndxrsj6db6UNNdam/+/O8qgFLcnXzEzPNIl71GaQfhbutersDwX/ccKm+mFNN+o0f1CJfy4QqmH\nDxd7vrIo0uXK98Hg2POoSBptBdJ7c2fpvbmzMp84HGrespVS8nyYTknxKiqKJg/B4IrMX1w+tj55\n1yTS5cp3IcTaFY9IV0QB38NSJUlRhTQLjD+QqNsfHCeHw6Hnx9xf7BnLGtakZEp1e+TM83n32PPU\n5ORc478v/kHLn52uK+e9KIczTH9+/5M2vvOJXJUqBCxvWZDu9SosT9HGkfW5OCPPXUsZaWlK3rFV\nez54W5K0+/ftqtiug6p26a69C/KfBQ3fZH4uzv1e781+r+dzcbC4Cnpf8XK9AoSyky5wGmNmShpm\nrU2SJGvtUUmvFVewUJe4c48q1c59K2Hl2jV0cDe3EvqbZ+8+RVSpknkmalZHO1dMNaV7PIUWMKt1\nOkc7Xn09kDHLlJox1XXg4CGlp6crLCxzo3j8/v2KjHSpUkUuZALpimuu0wXdL8p+/v68Odq/Pz7X\nnAMJCapavVQfn1xi1apRUwcSE3P/W0mIV2RkpCpVzH0rYc2aNZSQkHvt4hMSFBPD2vlbrZhqOnAw\nKc/3sAOKdLlUqUL5fPP3xCfotgfGKiwsTLMnj1WVyhXzzcGpYU1KpsO792TeYp7jM1j5mjFKTXbL\nk+foAEn6ZfKrWjn1TbkqV5Q74YCumP2CDv2xM9CxS7WU/QmZXdBzrElElapK93qVdvRI7rkH9su9\n889cY55dOxVRPfc1DE5NzZo1dCDxYK7vXwkJ+wt8r0fg1KpR0PVK1vsK1ytASCrKLeq3SoouriCl\nzY4Vq9X43I65xhp37qgdK1YX8gr46nDcFmWkpqpSm9bZY5Xbt9ehjZsKnB9euZKi6p6mQ2vXFfh1\nnLrmTRsrItyptRv+aSq0al2sWjenK2egVahYUXXq1st+tGjdRpvW5/67v3H9WjVv1aaQXwHFyZhm\nCg8P17r1/zQKWrV6jVq3yn8GWts2bbRmXe61W7Nmrdq2Ye38rXnjhpnfwzbFZY+tjN2kNqZxvrnJ\nbo8GPzRe4eFOzZ0yVjFVq+Sbg1PHmpRM+9ZtUnpKaq5GQXXPPUt7VuVvfmauvUJdnnlY6ampcicc\nUHhUpOpf8C/9+f1PgYxc6iX/tk0ZaWkq1+yfxinlW7TW0W1x+eYejduc2ZQoh6i69eXdtyffXPiu\nedOmiggP17rYDdljK9esVesW+Rs/IXCaN2mU+b6y8Z+mQivXb1Dr5k2DmArAqShKgTPEjxstfhVr\nxig8azv7qg+/UHSVSrp+yhjVbt5YfV54XK5y0Vr5/udBTln6pHs8+nvhf9Xs4QdVsUVzxXS5QPX7\n3qS/5r8nSYqoVlVhOc6BKt+4sdI9Hrl3/x2syKVeVGSkrrykh8ZNnqbYzXFavPRHzXnvY/W77hpJ\nmf876vFwbmAwnNe1u44cPqxXp07WH7/t0IwXJsnjduuC7j0kSV6PRwf2JwQ5ZdkRFRWlK3teoSfH\nP6MNGzfqm2+/09y35qnvzTdJkhISEuTJuqXwoh7dlZR0WBMnTdb27Tv07HOT5Ha7dclFPYL5WyiV\noiIjdVWPLhr7wmuKtVv19bKfNfuD/6hf7yskZd767Mk6WuDVdz7SX3/v1dMj71Z6RobiDyQq/kCi\nDtOx269Yk5Ip1e3RxvmfqMcLY1XrzNZq3LOHOt4zUKteniNJKlejevYt6we27lDbgTeqyZUXqUrj\nBrp85hQd+mOXfvvq+2D+FkqdDK9XB5Z8rfp33qPoxk1V+exOqnnVtdr3+QJJUnjlKtlnccb/73NF\nNzhDta6/Ra5adVT7xv5y1aytA0u+CeZvodSJiorUlZdfonETJmnDps1avOR7zX3nvewu6fEJ+7Pf\n6xE4UZGRuuribho35SXFbt6ixUuXa857n6h/Vpd0rleA0FPUJkOdjDEXnOhRLElLooyMXE8n7P5Z\nHftkftD2HD6il3oOVJMLztbDv/5HDc9upxcvG6AUN29exWHb89OUtGmz2r0yXU1GjtCOGa8pYclS\nSdK5X36uGhd1z57rqlZNqUmcvVncHhw6WK1MUw0a/pCefuFlDR3UP7tT+oXX3Kwvv+WCJhjKlS+v\nJyY+r9i1q3XvoH6yGzfoycnTFBmZeY7jksVfqe/VlxX4WoeD/+cqDiNH3KeWLVro9jv/rWcmPqe7\nh9ylC7t2lSR1u/hSLfrqK0lS+fLlNX3q81q5arVu7NtPsbEb9PKL0ziDs5iM+vetatmssW4bOVZP\nT39T9wy4Ud07ny1J6tLnDn353Y+SpK9/+Eker1c33jNaXW8YnP145uVZwYxfKrEmJdOSh5/RnjUb\ndN3nc9XtuTH68amp2rZwsSTpzq3L1Kz35ZKkvWs3avF9T+iC8Q/p5u8+Unpamj65fnAwo5daO2e/\nqqPbtqrJExNUd9Dd2j1/jg79slyS1OqN+apybhdJUkr8Pm178hFVPuscNX9+hip1OFvbxz+q1MT9\nwYxfKo0cdo9aGqNBQ4bpmUlTdfedg7I7pXe7opcWLf42yAnLpgfvvl0tmzXRwBGj9fS0V3XPoL7Z\nndK7XttfX363NMgJUZycDgePAh6hzJGRp0hXGGNM+kn+mhnWWqcPWTLucjT04WUoDjMyfpMkfXdW\np+AGQS5df12ulD07gh0DOUTUOkOStD0+/1ljCJ5GMRXlOcKalCSR5TPPGUv7M/+tqwgeZ/02rEkJ\n46yfeezElIoc61KSjEiK05prLwl2DOTQ/qNFkiRvIj0OSgpXlZqSpNTdW4KcBDmF12kqcUduPs9V\naHZyxbAyZuThuJD9u1LULuq1rbW8gwAAAAAAAAAoEYpyizrVbQAAAAAAAAAlCk2GAAAAAAAAAISs\notyifqEkTpwGAAAAAABAyHKyha/UOekCp7V2Sc7nxpgmks6SFKE8uzuttXP9kg4AAAAAAAAAjqOo\nTYYkScaYkZImKHNHZ942tRmSKHACAAAAAAAAKHY+FTglPSDpQWvtJH+GAQAAAAAAAICiKEqToZyi\nJH3szyAAAAAAAAAAUFS+7uB8W9IQY8xIa22GPwMBAAAAAAAAxcXpoMtQaeNrgbOSpEGSbjLG7JDk\nzflFa223Uw0GAAAAAAAAACfia4Fzi6Sn/RkEAAAAAAAAAIrKpwKntXasv4MAAAAAAAAAQFGddIHT\nGDNT0jBrbVLWzwtlrR14yskAAAAAAAAA4ASKsoPTUcjPAQAAAAAAACAoTrrAaa29raCfAwAAAAAA\nAKHCyba9Uqcot6g/drJzrbXjfIsDAAAAAAAAACevKLeoPyEpXdJqSUkq/Db1DEkUOAEAAAAAAAAU\nu6IUOIdI6iWpk6TvJX0i6VNrbXxxBAMAAAAAAACAEwk72YnW2hnW2ksl1ZP0tqSLJcUZY5YYY4Yb\nYxoUV0gAAAAAAAAAKEhRdnBKkqy1SZLelfSuMcYlqYekqyWNNMbskbTAWvukf2MCAAAAAAAAp87p\noMtQaXPSOzgLYq31SvpSmTs635XUWNJDfsgFAAAAAAAAACdU5B2ckmSMqSDpUklXSbosa3ihpNsk\nLfJPNAAAAAAAAAA4vpMucBpj6imzoHmVpC6Sdkr6TNJ1kn6w1qYVS0IAAAAAAAAAKERRdnD+LilF\nmR3UH5C0PsfXOhtjsp9Ya7/3SzoAAAAAAAAAOI6iFDgdko41FepxnHkZkpynEgoAAAAAAAAATsZJ\nFzittafUkAgAAAAAAAAINidN1EsdipYAAAAAAAAAQhYFTgAAAAAAAAAhiwInAAAAAAAAgJBFgRMA\nAAAAAABAyCpKF3UAAAAAAAAgpNFkqPRhBycAAAAAAACAkEWBEwAAAAAAAEDIosAJAAAAAAAAIGRR\n4AQAAAAAAAAQsihwAgAAAAAAAAhZdFEHAAAAAABAmeF00Ea9tGEHJwAAAAAAAICQRYETAAAAAAAA\nQMiiwAkAAAAAAAAgZFHgBAAAAAAAABCyaDIEAAAAAACAMsNJj6FShx2cAAAAAAAAAEIWBU4AAAAA\nAAAAIYsCJwAAAAAAAICQRYETAAAAAAAAQMiiwAkAAAAAAAAgZNFFHQAAAAAAAGWG00Eb9dKGHZwA\nAAAAAAAAQhYFTgAAAAAAAAAhiwInAAAAAAAAgJBFgRMAAAAAAABAyKLJEAAAAAAAAMoMJz2GSh12\ncAIAAAAAAAAIWRQ4AQAAAAAAAIQsCpwAAAAAAAAAQhYFTgAAAAAAAAAhiyZDAAAAAAAAKDOcDroM\nlTaOjIyMYGc4psQEAQAAAAAAKCWo5uXxYa1W1KAKcN2eDSH7d6VE7eD87qxOwY6ALF1/XS5JusvR\nMKg5kNuMjN+079DRYMdADjUqlZMkvbXqryAnQU79OtTT1GXbgx0DOQzr3EiSlPrXhiAnQU7h9Vqx\nJiVMeL1WkqTXqjYPchLkNPjAZk2vbIIdAzkMPWglSWt2JgY5CY5pX7eKJOngkeQgJ0FOlctHBzsC\nEBCcwQkAAAAAAAAgZFHgBAAAAAAAABCyKHACAAAAAAAACFkl6gxOAAAAAAAAoDg5Q7aVDgrDDk4A\nAAAAAAAAIYsdnAAAAAAAAACKxBgTKellSb0lHZU02Vo7pZC510gaL6m+pNWShllrV/srCzs4AQAA\nAAAAABTVJEkdJHWVNETS48aY3nknGWNaSnpbmQXOtpLWSlpojInyVxAKnAAAAAAAAABOmjGmnKRB\nku611q611n4qaaKkoQVMv1hSrLX2bWvtDkkPS6otqaW/8nCLOgAAAAAAAMoMp4MuQ37QTpl1xeU5\nxn6QNLqAuQmSWhljzs2aP1DSQUnb/BWGHZwAAAAAAAAAiqKOpHhrbWqOsT2Soowx1fPMfU/SF8os\ngHqVudPzOmvtQX+FocAJAAAAAAAAoCjKSfLkGTv2PDLPeHVl3pI+RNLZkuZKmm2MifFXGAqcAAAA\nAAAAAIrCrfyFzGPPj+YZnyBpnbV2Rlbn9DslHZF0m7/CUOAEAAAAAAAAUBQ7JcUYY3LWFmtLSrbW\nJuaZ21GZndMlSdbajKznDfwVhgInAAAAAAAAgKJYIylF0jk5xs6X9EsBc3cpf8d0I2mHv8LQRR0A\nAAAAAABlRhhd1E+ZtTbZGDNX0gxjzEBJ9STdL+lWSTLG1JJ00FrrlvS6pFnGmF+V2UX9DkmnS5rj\nrzzs4AQAAAAAAABQVCMkrZT0jaQXJY2x1n6a9bXdkvpIkrX2fUlDJY2WtEpSJ0kXWmvj/RWEHZwA\nAAAAAAAAisRam6zMRkH5mgVZa8PyPJ8laVZxZWEHJwAAAAAAAICQRYETAAAAAAAAQMjiFnUAAAAA\nAACUGQ4nTYZKG3ZwAgAAAAAAAAhZFDgBAAAAAAAAhCwKnAAAAAAAAABCFgVOAAAAAAAAACGLAicA\nAAAAAACAkEUXdQAAAAAAAJQZYXRRL3XYwQkAAAAAAAAgZFHgBAAAAAAAABCyKHACAAAAAAAACFkU\nOAEAAAAAAACELJoMAQAAAAAAoMxwONnvV9qwogAAAAAAAABCFgVOAAAAAAAAACHrlAucxpjKxpiK\n/ggDAAAAAAAAAEXh0xmcxpgwSWMkDZZUO2vsD0nTrbWT/RcPAAAAAAAAAArn6w7O5yTdIelxSR0l\nnS1pgqT7jTGP+ikbAAAAAAAAAByXr13UB0i61lr7XY6xlcaY7ZLmSnrqFHMBAAAAAAAAfudwOoId\nAX7m6w5Od9Yjr32S+FsCAAAAAAAAICB83cF5v6Q3jTH3S/pRUoqk9pKmSZpsjDnt2ERr7a5TTgkA\nAAAAAACg44NFAAAgAElEQVQABfC1wPlO1o9fSMrI+vmxnZsdJT2T9TxDktPndAAAAAAAAABwHL4W\nOJv6NQUAAAAAAAAA+MCnAqe1dpskGWOqS4os4Ovclg4AAAAAAIASJ4wmQ6WOTwVOY8w1kl6VVD3P\nl7gtHQAAAAAAAEDA+HqL+lRJH0uaLinZf3EAAAAAAAAA4OT5WuCsKGmKtTbOn2EAAAAAAAAAoCjC\nfHzdDEnDjTG+FkgBAAAAAAAA4JT5WqCcL+k7SbcaY3ZLSs/5RWtts1PMBQAAAAAAAAAn5GuB821J\nm5RZ6OQMTgAAAAAAAIQER5ivNzSjpPK1wNlIUltr7TZ/hgEAAAAAAACAovC1ZL1QUlc/5gAAAAAA\nAACAIvN1B+cWSS8aY/pJ2i4pNecXrbWDTzUYAAAAAAAAAJyIrwXO0yV9lPXziKwHAAAAAAAAAASU\nTwVOa20/fwcBAAAAAAAAiluY0xHsCPAzX3dwyhhzjqRhkppK6iXpJkk7rLUf+ikbAAAAAAAAAByX\nT02GjDG9JP1P0h5JrSS5JDkkvWWM4fxNAAAAAAAAAAHhaxf1JyQNsdYOV1aDIWvtREmDJY30T7SS\nyRERITNmtDp/s0idvvhM9W65scB57WZMV5efl+V7mEcfDnDisiXc5dKYdV+qyflnFzqnfvtWenD5\nAk09vFGjVnyi+me2CmDCsifObtbg2/qrx/mddMeAfrKbN53U6yY8NU6zXn+1mNOVTX/v2KJZY4Zq\nwoArNPPRu7V7R1yhc1M8bn3+2mRNvuMaTb6jlxa+MUVed3IA05Yd+37fqo+eGq7X7uqlD58crn2/\nbz2p163+74d668EBxRuuDPJ6UzTmuZfU6ep+urDP7Zr9wWcnfM3K9Zt0ad9/ByBd2cSalExhrghd\nMO0p3brjJ92yYYnaDBlQ6Ny6F3ZW7+8XaMAfK3X5R2+qcuOGActZloS5ItRt+njd/vvPGrDpe7W/\ne0Chc+t366wbln6iwX+t0lUL3lQV1qRY7dhi9cjdA9X/8i56ZMhAbY/bXOjc1JQUzZsxTUNuuFID\nr75Ikx4bpf379gYwbdlgN2/WwP79dMG55+i2/n21edPxr1Xmvz1PPS+9WBdecJ6eGjdWHo8nQEkB\nnIivBc5mkpYVML5cUj3f45R8jYffowrNjdbcebfiJjynhncMUsyFXfLN2/DAQ/rxkp7Zj9gHRind\nm6KdH3xUwK8Kfwh3uTRo/jTVadm00DkR0VG6e+FMbVnyk57u0FPbl6/S0IWzFBEVGcCkZYfbnayR\nw+9R+w4dNfOt+Wrdpq0eHH6vPG73cV/39tzZ+vyzTwKUsmxJ8bj17sRHdHqLtrr96Rmq17Sl3pv4\niFK8BX84WzTnJf392xbd8shzuuWRSdq11erreTMCnLr0S/G4tfCFx3WaaaPrH5+u2o2ba+ELjym1\nkHU55uDe3frls7flEGcI+dtzr87Wxq3bNWvKOI0ZNlivvPW+vlq6otD5cdt/14hxzykjgBnLGtak\nZDrnyVGKaddS/7myv354YKw6jrpbDXtelG9e1eZNdOm7r+i3z7/Wx117K379Rl3x6Ww5o6OCkLp0\nO++pUarRrqUWXNFPS+4fq/8bNVSNrsy/JtWaN1HP92Zo++df6b0LrtG+dZvU6z9zFM6aFAuP260J\no0eoZbsOenbGXDVt2VoTRo+Q11Pw5+L3Z72mX3/8Xvc++qSefPF1paWmavLjDwU4denmTk7Wfffe\nozM7dtRb77yrNm3a6r5h98hdyLXKN4u/1puvv6bRYx7TyzNeU+z6dXpx6gsBTg2gML4WODdKujjH\n82OfHftKOrntWSEoLDJSda6+Ulufm6IjW7YqYclS/TF3nur2uS7f3NTDh5Vy4EDmIzFRje6+S3/O\nfUuHbeE7peC72s0b68EVC1T9jPrHnfd/N14p79FkLXjoWe2J264P7hsnd9Jhdbj+igAlLVu+/t8i\nRUVFa8g9w3R6w4Yadv9IRZcvp28Wf1Xg/KNHjujRUQ/onblzVKt27QCnLRs2/PitIiIj1f3mwap+\nWn1dfOvdckVFa9OKJQXOD49w6dIB96h2wyaq3bCJ2ne9VH/a2ACnLv22/rxE4ZGR6nT9IFWtU0/n\n3XyXIqLKaesvS4/7uu/fmq4aDZoEKGXZkez26OP/LtbouwepeeMz1K3z2Rp4Qy+988kXBc5//z+L\n1HfYaMVUqxrgpGUHa1IyOaOj1LzvtfrxofHaH2v1+3+/0dppb6jVHbfkm9vithu156fVWjXxJR3a\n/rt+fmKyvIeS1PT6K4OQvPQKj45Si37X6fsHn1JCrNWOLxZr1bQ31HZw33xzWw+8UbtXrNYvE17S\nwe2/a/njk+Q5lKRmfViT4vDjt/+TKzJKtwweqtNOb6ABQ0coulw5LV/yTYHzl/xvoW4c9G81b9Ne\ndU9vqDsfGK1tdqP+3vlXgJOXXv9btEhRUVG6Z9hwNWjYUCNGPqhy5cpp8dcFX6u8N3++brqlr87t\nfJ5atGyphx95VJ99soBdnCHK4XTwKOARynwtcD4gaaIxZr4yz98cZYxZLGmUpAf9Fa6kqdCsqRxO\npw6t/+fi/uCadarU+vi3ONe+qqfCK1bSH3PmFXfEMqtpl3NkFy/TxE69JUfh/ygb/utMbfvh11xj\n25atVKNOHYo7Ypm0MTZWbdu1zzXWtm17bVi/rsD5u3btVEpKit6c947qnFY3EBHLnJ3bNqm+aZ1r\nrJ5prb+2bCxw/qW33aN6zTK/xyXu+1uxPy5Wg5btC5wL3+3ZblWnae73kjpNWmrPtsL/z3Dzsq+V\nmuJVi/MvLnQOfGO3/abUtHS1a2Wyxzq0bqH1m7cUOH/Zr2v07EPD1K93z0BFLHNYk5KpeuvmcoQ7\ntefnNdljfy9fpZod2+abW6lhPe1duTbX2IFNcar1f7yn+FNM6+YKC3fq7xxrsnv5StUqcE3qa0+e\nNUnYGKfa/3dmsecsi7Zs2qDmbdrlGmvWqq22bFifb25GRobuGT1ObTqenWtMko4eOVy8QcuQDbHr\n1e7M3N+D2rVrr/Xr8l+rpKena+PGDWp/5j//Plq3aauU1FRtiWMTE1AS+FTgtNZ+J6mFpB2SvpBU\nV9JqSS2ttV/7LV0J44qprpTERGWkpWWPpSTsV5jLpfDKlQp93en9b9Ff77yrdP5np9gsffVtfTTy\naaWe4M+4cp0aSty1J9fYoT3xqlqP3YLFISF+n2Jq1Mg1VrVaNe3dU/D5QU2aNtOEKVNVu3adQMQr\nkw4f2K8KVavnGqtQuaqS9u877us+e2WCpg/rqyMHE3V+7/y7QHBqjh7cr/JVcq9LdKUqOnwgvsD5\nyYcSteLDWerS/55AxCtz9u0/oKqVKyrc6cweq161sjzeFCUeTMo3f+rYUerWufCzn3HqWJOSqVyt\nGnIn5P5sfHRfvJxRkYqsWiXX3OS9CSpfp1ausfJ16yiqOrts/alc7QLWZG+CnFGRisqzJkcLWJOK\ndesomjUpFokJCapaPSbXWJWq1ZVQwLmaDodDrTucpfIVKmaP/fej91SpShU1aMydG/4SHx+vGjG5\nr1WqVa+uvXv25JublJQkr8ejmBo1s8ecTqcqV66svXvzzwcQeCdd4DTGPGaMKXfsubV2l7V2tLX2\nGmvtldbaB6y1O4onZsngjIpSujcl11h6ileSFBbhKvA1VTp2UGSNGtr9yYkPwkfxc5WLVqrHm2ss\n1eNVeGTB64dT43a7FeHK/WfrcrmUkuIt5BUobilej8LDc6+JMzxCqSkphbwi07lX3aTbxk1X5Zia\nmv8s5z/5W6rHI2d4RK4xZ0SE0lILXpdl772uFudfrGqnnR6IeGWO2+2RKyL3ehx77j3BvxUUD9ak\nZAovF6U0b+739PSsz1nOPJ+tti34r864+lLVv7iLHGFhanpjL9U4s7XC8qwrTk14dHS+NTn2PO+a\nbF3whZr0ulQNstak+U29VLNDa4W5WJPi4PG4FZ7nmjHcFaHUk/hc/MuyJfr8g7d10+13y+kML66I\nZU6B1yoREQVeq7jdbjkcjgLei1zyerm2AUqConx3fFzSDElHiylLiZfu9eZ7wz9W2Ewv5CDiGt0v\nVMKPK5R6mFsJSoIUtydfMTM80iXv0eM3vcHJeWvWm5o7e6akzP95btmqtVLyvOF7vV5FRXF4faAs\n++QdLfv0ncwnDofqNm6u1NQ8Fz6pKYqIPH6jrZi6mYW03veO0QtD+uj3TevUoEX+291wclYufE+r\nPn8v84lDqtWoeb5iZlpKiiJc+f+t/BG7Un9v26QLBwzLHKCDit+5XBH5imbHnkfRlC4oWJOSKc3t\nlTNPcSAs63NW6tHkXON/ffODVk18SRfNmaYwZ5h2Lf1ZcfM/katSRcF/0jyefGty7HlKcu41+WPx\nD/plwnRd9taLcjjDtHPpT9rMmvjNgndm65O350jKPEGrSYvW+YqZqd4UuU7wufiXH5Zo6pOP6rLe\nN+jCyzgf9VTMnvmmZs98U1LmtUqr1gVcq6SkKLKANYl0uZSRkVHAexHXNkBJUZQCZ2ifNuoHnr37\nFFGlSuY7VNYZKK6Yakr3eAotYFbrdI52vPp6IGPiOBJ37lGl2rlvQ6hcu4YO7i74lmkUTa/r+qjb\nRZdkP583Z5YSEhJyzdmfkKDqMTF5X4pi0vGiq9SyU9fs5z9+9q6OJB7INedw4n5VyHN7tCSlpaZq\ny6rlatT2LLmioiVJ5StXVbkKlZScdLBYc5d2rS+8Qk3+74Ls56u/eF9HD+7PNefooQMqVzn/bYJb\nf16iI/vjNfPeGyVJ6elpSk9N1etDeqvnfU/mO8sTRVcrproOHExSenq6wsIyb3aJ35+oSJdLlSqU\nD3K6sok1KZmO7N6jqOq5PxuXq1lDaclueQ/lPzpgzfOvae2LM+WqVEGe/Ynq/uYUHf5zZ6Bjl2pH\nduVfk/K1YpSa7Ja3gOMcVk55TaunzZSrUkW59x/QJbOeV9IfrIk/XHzVtTq36z/d6z+dP0eJ+3N/\nLk48kKCq1Qr/XLzsm//ppWfH6uKrrlW/fw8rtqxlxbXXX6+LLv7nWmXOrJn5rlUSEuIVk+e2dUmq\nXKWKXJGRSoiPV4MGDSRJaWlpOnjwYIHzAQReUc/grGeMOf1Ej2JJWgIcjtuijNRUVWrzT4OOyu3b\n69DGgptAhFeupKi6p+nQ2oIbqiDwdqxYrcbndsw11rhzR+1YsTpIiUqXihUrqm69etmP1m3aKnZd\n7sPr169bo1at2wQpYdkTVb6CqtY6LftRt2lL/bVlQ645f8ZtUN0mLfK91hHm0GevTNCW1Suyxw7G\n79HRw4eyd3TCN5HlKqhyzTrZj1qNW+jvrbnfS/7eslG1GjfP99pO1w/SjU+9qj5jX1KfsS/p7F79\nVL5qdd0w9mXVbNg0UL+FUq15k4aKCHdq7aZ/mgasXL9RrQ3nngULa1IyJazfpPSU1FyNgmp36qh9\nq2PzzW3c+3J1Gv+QMlJT5dmfKGdUpE47/1/atfSnQEYu9fZlrUntHGtSp9NZ2rsq/5o0vfZynff0\nw0pPTZV7/wE5oyJV9/x/6a/vWRN/KF+homqdVjf70bRlG8XlaShkY9eqacvWBb5+/apf9NKzY3XZ\nNX00YOiIQEQu9SpWrJTrWqVN27Zal+daZd2aNWrdJv+1isPhUMuWrbR2zT/XjevWrlVEeLiaNmtW\n7Nnhfw5nGI8CHqGsqOl/UWZjocIev2X9WCqlezz6e+F/1ezhB1WxRXPFdLlA9fvepL/mZ95mGFGt\nqsJy3BJSvnFjpXs8cu/+O1iRIalizRiFZ91+u+rDLxRdpZKunzJGtZs3Vp8XHperXLRWvv95kFOW\nThd276HDSUmaNmWSftuxXS9Mmii3261uPTK7Pns8Hu3P87+mKF4t/nWB3EcO639zX1b8zt+1aM50\npXrc2bs8U71eHU7M3EkYFuZUhx5X6tt339SfNla7t8dpwbSnZM7qrJi6DYL4uyh9Gp91njxHj+iH\n+a9q/64/tPSdGUr1erJ3eaameHX0YObO2+iKlXMVR6MrVVZYmFOVatSWs5DzoFE0UZGRuuqirhr3\n/KuKtVu1+IefNOeDz9T/2syO3PH7E+XhvK2AYk1KpjS3R1ve+1TnTXlCMe1bq8Hl3dV26G1a/0rm\nbbnRNapnn/uYuPU3tRhwgxpe0UOVGjVQt9cnKenPXfrz66XB/C2UOmlujza/+6m6Pj9WNc9srTOu\n6K4zh96mtYWsSavbblCjnj1UuVEDXfzGZCX9uUt/fP19MH8LpdY5XbrpyOEkzXnpef31+w7Nnj5Z\nHrdHnbp2lyR5vZ7sHZ7paWmaMfEptWrXQVfe0FeJ+xOyH6mpqcH8bZQq3XpcpKSkJE2Z9Jx2bN+u\nyc9NkNvtVo+L/rlWybnD87rr+2je3Dla8t232rghVhOffVq9el+ryBMc9QQgMIpa4PyXpEbHeZyR\n9WOpte35aUratFntXpmuJiNHaMeM15SwJPOD2blffq4aF3XPnuuqVk2pSZy9GXAZuQ+km7D7Z3Xs\nc4UkyXP4iF7qOVBNLjhbD//6HzU8u51evGyAUtx0uC8O5cqX18Tnp2rN6lW6vf8t2rQxVpOmTs8+\n1+abrxap1+UXF/hah6PMn4pRLCKjy+mGkeP1x+Z1evORIdq1bbNuHPWMIlyZH8w2LP9WU4fckD3/\nwhsGqsXZ5+ujF8Zp3vgHVL3u6brq36OCFb/UckWX0xXDntDuuFh9OO5e7d1hdcV9Tyo8a122/rxE\nc0bQvT6QHvz3ALVs1kgDH3hcT09/Q/fcdlN2V+6ufQbpy++WBTlh2cOalEzLH3lW8Ws2qOens9V5\n4qP6dfw0/f7fbyRJfTcvVaNel0mSEtZt1NL7x+qcp0bpmm8+UEZauhbdeFcwo5daP4x+RvvWxKrX\nZ3N0wcQx+mn8VO34YrEkaWDcD2pyTeaa7Fu7UUtGPKHO4x9Sn28/VEZ6mj7vc2cwo5dq0eXKa9TT\nU7Rp3WqN/vcAbd28UQ8/+7xckZmfi5d/+7Xu6pP5nzbb4jYpIX6v1q/+VXf16Zn5uP4K3dWnZ75d\noPBd+fLlNWXqNK1ZtUq39r1ZG2I36IUXX8o+U/Or/y3SFZf8c8zARZdcoltvG6hnxj+le+8eojZt\n2uqeYcODFR9AHo6MjJPrTmCMSZNUx1pbXIcVZnx3Vqdi+qVRVF1/XS5JusvRMKg5kNuMjN+071CZ\n7fNVItWoVE6S9Naqv4KcBDn161BPU5dtD3YM5DCsc+b/f6b+teEEMxFI4fVasSYlTHi9zHN0X6ua\n/4gKBM/gA5s1vbIJdgzkMPSglSSt2ZkY5CQ4pn3dKpKkg0eSTzATgVS5fLRET5V8vjurE606C9D1\n1+Uh+3elKDs4Q/Y3CQAAAAAAAKB0KkoX9dsk0TYXAAAAAAAAISvMyR6+0uakd3Baa+dYaz2SZIyZ\nbIyJyjvHGNPcGMOp1AAAAAAAAAACwtce8D0lrTPGnCdJxpgIY8wTktZI4hAUAAAAAAAAAAFRlFvU\nc2oj6TFJXxlj5kk6V5JL0nXW2s/9FQ4AAAAAAAAAjsenHZzWWq+kZyV9JmmQpKaSHqO4CQAAAAAA\nACCQfCpwGmP6StosqbWkrpIekDTDGPOFMaax/+IBAAAAAAAAQOF8vUX9DWXu4Hw6azfn98aYjyW9\nJClWUrSf8gEAAAAAAAB+4wiji3pp42uBs721dnPOAWvtX5KuNsb0PvVYAAAAAAAAAHBiPhU4rbWb\njTE1JDWT5MwadkiKVOZ5nAAAAAAAAABQ7HwqcBpj7pA0XVKEpAxlFjeV9fOfJU3wSzoAAAAAAAAA\nOA6fmgxJGi3paWWetblHUgNlNhxaLelj/0QDAAAAAAAAgOPz9QzOupLmWGs9xphVks6x1n5gjBku\naaak5/yWEAAAAAAAAPCTMKev+/1QUvm6onsl1cj6+WZJZ2b9fKcyi58AAAAAAAAAUOx83cH5vqS5\nxphBkr6U9JYxZqWkKyVt8Vc4AAAAAAAAADgeX3dwjpI0X1KMtfZrSW9KmiHpHElD/JQNAAAAAAAA\nAI7Lpx2c1toUSeNyPH9U0qP+CgUAAAAAAAAAJ+OkC5zGmMdOdq61dtyJZwEAAAAAAADAqSnKDs4n\nJKVLWi0pSZKjkHkZyrG7EwAAAAAAACgpHM7CSloIVUUpcA6R1EtSJ0nfS/pE0qfW2vjiCAYAAAAA\nAAAAJ3LSTYastTOstZdKqifpbUkXS4ozxiwxxgw3xjQorpAAAAAAAAAAUJAiNxmy1iZJelfSu8YY\nl6Qekq6WNNIYs0fSAmvtk/6NCQAAAAAAAAD5nfQOzoJYa72SvlTmjs53JTWW9JAfcgEAAAAAAADA\nCRV5B6ckGWMqSLpU0lWSLssaXijpNkmL/BMNAAAAAAAA8C+aDJU+J13gNMbUU2ZB8ypJXSTtlPSZ\npOsk/WCtTSuWhAAAAAAAAABQiKLs4PxdUooyO6g/IGl9jq91NsZkP7HWfu+XdAAAAAAAAABwHEUp\ncDokHWsq1OM48zIkOU8lFAAAAAAAAACcjJMucFprT6khEQAAAAAAAAD4G0VLAAAAAAAAACHLpy7q\nAAAAAAAAQCgKc7Lfr7RhRQEAAAAAAACELAqcAAAAAAAAAEIWBU4AAAAAAAAAIYsCJwAAAAAAAICQ\nRZMhAAAAAAAAlBkOpyPYEeBn7OAEAAAAAAAAELIocAIAAAAAAAAIWRQ4AQAAAAAAAIQsCpwAAAAA\nAAAAQhZNhgAAAAAAAFBmhIXRZKi0YQcnAAAAAAAAgJBFgRMAAAAAAABAyKLACQAAAAAAACBkUeAE\nAAAAAAAAELIocAIAAAAAAAAIWXRRBwAAAAAAQJnhcLLfr7RhRQEAAAAAAACELAqcAAAAAAAAAEIW\nBU4AAAAAAAAAIYsCJwAAAAAAAICQRZMhAAAAAAAAlBlhTkewI8DP2MEJAAAAAAAAIGRR4AQAAAAA\nAAAQsv6fvTuPi7La4zj+HZYBVBR33FHRR0XQtNJ2Tc2ysls3u5lLqe1Zal0t21dTyyyz0hYzLcu6\n5W2xNNfyWra54vK4IK65gKCgzAwI949BZBhQwIFhmM/79ZpXM4fz2Nc5MvPMb85zDgVOAAAAAAAA\nAD6LAicAAAAAAAAAn0WBEwAAAAAAAIDPYhd1AAAAAAAA+A0Lu6hXOpacnBxvZzilwgQBAAAAAACo\nJKjmFbD2n72pQRWi45cLffbfCpeoAwAAAAAAAPBZFeoS9cyDO70dAbmC6zeXJB0+dsLLSZBf3epV\ndK8lytsxkM+0nERJUvb2Vd4NAhcB0V11ctNyb8dAPoHtukmSMmw27waBi7DQUMakggkLDZUk2U4c\n93IS5BdapaoOHWVMKpJ6NapKkvY9d4+Xk+CURs9MlyTZl3/i5STIL6TbAG9HAMoFMzgBAAAAAAAA\n+KwKNYMTAAAAAAAAKEuWQOb7VTaMKAAAAAAAAACfRYETAAAAAAAAgM+iwAkAAAAAAADAZ1HgBAAA\nAAAAAOCzKHACAAAAAAAA8Fnsog4AAAAAAAC/ERBo8XYEeBgzOAEAAAAAAAD4LAqcAAAAAAAAAHwW\nBU4AAAAAAAAAPosCJwAAAAAAAACfxSZDAAAAAAAA8BuWADYZqmyYwQkAAAAAAADAZ1HgBAAAAAAA\nAOCzKHACAAAAAAAA8FkUOAEAAAAAAAD4LAqcAAAAAAAAAHwWu6gDAAAAAADAbwQEMt+vsmFEAQAA\nAAAAAPgsCpwAAAAAAAAAfBYFTgAAAAAAAAA+iwInAAAAAAAAAJ/FJkMAAAAAAADwG5ZAi7cjwMOY\nwQkAAAAAAADAZ1HgBAAAAAAAAOCzKHACAAAAAAAA8FkUOAEAAAAAAAD4LAqcAAAAAAAAAHwWu6gD\nAAAAAADAb1gCme9X2TCiAAAAAAAAAHwWBU4AAAAAAAAAPosCJwAAAAAAAACfRYETAAAAAAAAgM9i\nkyEAAAAAAAD4DUsA8/0qG0YUAAAAAAAAgM+iwAkAAAAAAADAZ1HgBAAAAAAAAOCzKHACAAAAAAAA\n8FlsMgQAAAAAAAC/ERDIfL/KhhEFAAAAAAAA4LMocAIAAAAAAADwWcW+RN0wjGWScorT1zTNK0ud\nCAAAAAAAAACKqSRrcC4vqxAAAAAAAAAAUBrFLnCapvlcWQYBAAAAAAAAgJIqySXqM4rb1zTNoaWL\nAwAAAAAAAJQdC7uoVzoluUTdUmYpAAAAAAAAAKAUSnKJ+pCyDAIAAAAAAAAAJVWSGZx5DMOwSLpB\nUoykwNxmi6QQSeeZpnmNZ+IBAAAAAAAAQNFKVeCU9KakYZLWSLpQ0i+SWkqKlPSOZ6IBAAAAAAAA\nwJmVtsD5L0kDTNP8yjCMLZLuk2RKminJ6qFsAAAAAAAAgEexyVDlU9oRrS7pz9z7GyRdaJpmlqSX\nJfXxRDAAAAAAAAAAOJvSFjgTJJ2Xe3+jnJepS851OGucaygAAAAAAAAAKI7SXqI+SdIcwzCGSpor\n6S/DMLIkXSzpf54KBwAAAAAAAABnUuwZnIZhVDt13zTN9yVdI2mbaZqbJd0o5wZDf0ga4umQAAAA\nAAAAAFCYklyivtswjCaSZBjGDElrTNNcLUmmaS40TbOfaZr3mqZ5oCyCVhQOh0NPjX9NF/e5WVfe\nNEAfzf3yrMesXh+vq2+l7lvWtppbdPeQwep52UW6645BMrdsLtZxE158Xh++N72M0/mvIKtVT61f\noOjLLiyyT5OOMRrz6zy9kb5Jj676r5qcF1OOCf2LIzNTT7z+gbrccp+uGDxCM+ctKLLv8t/X6qYH\nn1Lnm+/RjcOf0rLf1pRjUv/hyMzUk1NnqevAUeo27FHN/HpRkX1/+nODbnr4RZ3f/yHdOOoFLftj\nXTkm9T9bNm/WoIED1bVLFw0cMECbN5/5feXjjz/WVb166dJLLtFzzz4ru91eTkn9C+NSsTgcDj3z\n7PihfZ4AACAASURBVHO69PIr1POq3po1++Mi+27eskUDBw9Wl4su1oBBg886djg3W80tumfoYPW6\n/GLdPWRw8c+NX3pBH77/bhmn8zOBQYroO0gNxrymyFHjVa1rzyK71vrXfWr49Dtq+NQ7ef8NiW5f\njmH9hyMzS8/M+kaXjJqono9O1qxFvxbZd/5vG3T902/pwuHjdPvEDxWfuK8ckwIojpIUOAMk9TIM\no5mk2yW1MgyjaWG3solaMbz69vvavG2HZkyZqCdHDdc7Mz/Rop+Kvip/646devjpl6ScnHJM6X9s\ntgyNHvmgOnbqrBmzP1X72DiNGfmQ7DbbGY/7ZNZMfffNf8sppf8Jslo17NMpatCuVZF9gsNC9cD8\nGdr2028a1+k6Jfy6WsPnf6jg0JByTOo/Jr7/mTbvSNRH48fq6ftu11tz/qsfV/7p1s/cuVsjxk3V\nP3tfof+++YL6Xd1NI8ZN1dbEPV5IXblNnPkfbUrYrZkvPKyn7u6vtz//Tot+Xe3Wz0zcqxETp+nm\nnpdo3uSndMtVl2nkxHe1dRcn2GUhIyNDDz74oDp37qzP5s5VXIcOenD4cNmKeF9ZvHix3p0+XU8/\n84zefe89rV+/Xq9PnlzOqSs/xqXimfTaZG3eskUfvPeenhg7VtPffVeLlyxx6+ccu4fUuXNnzf10\njjrExWr4QyOKHDucG5stQ2NGPaSO53XWB7PnqH1srMaMGlGsc+P5nBt7XI2rblZwZFMd/ug1pX7/\nqcKvuE6hbc4rtG9w3QZK+fIDHZg0RgdeHaMDk8bInrCpnBP7h0n/WaTNuw9oxsOD9UT/Ppr23c9a\nvNr9i4DV23fr2dnf6r7rrtC8Z+9XXIvGun/KHGU4Mr2QGp5iCQjgVsjNl5Uk/euS3pdzgyHJeTn6\nzgK3xNz/VkoZNpu+mr9QYx+6T22iW+jKyy7SkP799OlX3xba//Ov52vQA4+oTu1a5ZzU/yz+caFC\nQ8N0/4Mj1DQqSiMeGa2wqlW0dEnhM6FOHD+uJx/9t+bM+kj1IyPLOa1/iGzTUmNWzVPt5k3O2O+C\nW6+X40SG5j02Xge3JuiLUc/LlpauTv2uLaek/iPDZteXi37W4/cMVJsWTdXjok4a9s8+mvPdYre+\n839apa4d2mnAdT3VpEE93XZdD3WJa6sfVvzuheSVV4bdoa8Wr9Tjd/5LbZo3UY8uHTX0H7015/vl\nbn3nr/hDXePa6LY+3dUksq76X9NNXWJba0EhBWqcu4ULFig0NFQjR41SVFSUxowZoypVqmjRosLf\nVz6dM0cDBw7UpZdeqnbt2unJp57SvHnzmC3oYYxLxZKRkaH/fv21HhszWobRWt27d9Mdtw/WZ3Pn\nuvVdsHChQsNCNWrECOfYjR6dO3bu70E4d0t+XKjQ0FDd9+AINW0WpYcedj7fy5YU/nyfOH5cTz42\nWp/OnsW5sYdZgoJV5bxLdHTBXGUd3CubuU5pvyxUtQu7uXcOCFRgRB059u9S9om0vJuys8s9d2WX\n4cjUvJVr9Oi/estoEqnuHQ3d0ftifbr8D7e+SUfTdc+1l6vPhe3VqE6E7r3uch09kaGE/Ye9kBxA\nUYpd4DRN81lJtSS1kHO39C659/Pfmuf+t1Iytyco6+RJdYhpm9fWKS5GGzZvKbT/yt//0stPjNag\nm/9RXhH91qb4eMV16OjSFhfXURs3rC+0//79+5SZmakPPp6jBg0blUdEv9Pqiq4yl6zUxItukiyW\nIvtFdTlPO/7nWqDZsfIvtbioU1lH9Dtbdu7RyZMn1bFtdF5bp5jWWm/ucOt7Y8/L9MiQfm7t6ccz\nyjSjvzF37lFWdrY6GqffOju3jdb6be7fFd545UV6eNBNbu1pJxiTsrBhwwZ1PM91dk3Hjh21fp37\nsgDZ2dnauHGjzut0+nUrLi5OWVlZ2mqaZZ7VnzAuFcvWrVuVlZWluLi4vLbzOp6nDRvi3fpuiI/X\neR0Ljl0HrVtf+Lkazs2mjfGK7eD6fMd26KD4M5wbZ2Vm6oPZn3Bu7GHBkU1kCQiQY09CXptj93YF\nN2ru1jeoTn0pJ1snU5LKM6Jf2rrngLKys9WhxenJGJ2im2jDTvcrY67q3E53XnOpJMmemaVZi1ap\ndng1tWhYt9zyAji7Eu2ibppmqqRUwzCaS9ptmqZfXXd9OPmIataorqCgwLy22jVryu7IVOrRY4qo\nUd2l/xsvPS1J+vqHotdTg2ckJx1Wi5bRLm01a9XSzoSEQvtHt2qtCa+9UR7R/NaK6Z8Uq1+NBnW1\nP36rS9uxg0lqGFP0Ze0oncNHUhVRPVxBgadfw+pEVJc9M1Mpx9JVs3reXnJq3riBy7Hbdu3VqnWb\n1P/aK8strz84nHJUNcOruYxJ7dwxST2Wroj8Y9LIdUbNtt37tWr9Ft16dbfyiutXkpKS1DLa9X2l\ndu3a2rHD/QuBtLQ02e121at7+oNOYGCgatSooYOHDim2zNP6D8alYjmclKSaEREKCjr9kaJ27Vpy\nOBxKTU1VREREXnvS4SRFR7d0Ob52rdrakeA+djh3yUlJat7S9fmuVau2dhbxfEe3aq3xk14vj2h+\nJ6BaDWWfSJdyTs/CzE4/JktQsALCqio743hee3CdBsq221TzpqEKiWqtk0dTdGz5t7Lv2OiN6JXa\n4aPpqlmtioICT8/5ql29mhyZWUpNP6GIalXcjvlty07d+4ZzneGXh96kMGtwueUFcHYlKnDmc1TS\n84ZhXCApWM4ZnXlM06yUn4Btdruswa4vYqceOzJZf8ObbDabgq1Wlzar1arMTIeXEqG4rFXClGV3\nHacsu0NBIdYijkBpOV/DXF/2T72GZZ7hNSzlaJpGjJuqzjGtdWVXZtZ6UobdUciYOB87srKKPC7l\nWLpGTpymzm1b6coLO5RpRn9ls9lkLfC+Emy1yuFwf1+x2WyyWCyFvg8V1h+lx7hULIWdf5167Ciw\nNl1hY2e1Brv1g2fYbDZZgwuOTfAZ3+9RNizBVuUUeE/POZn7OND1HCCoTqQswcGybY9X2v9+UFjb\nTqrd/wEdfv9lZR5gHXRPsjkyFRzk+vwH505kcmSdLPSYVo3qae4Td+un9Vv15Mz/qlGdCMU2Z8Yz\nUFGUtsA5W9IFkj6RdMxzcSq2EKvVrZB56nFoCBuilKfZH36gWTNnSJIsFovaxbRXZoEPKw6HQ6Gh\nod6IhxLItNndiplBIVY5TrDpgKc5X8NcT7BPv4YVXlBOSjmqYU9OlEXS5LHDyzqi3wmxBhcyJs7H\nRY5J6jHd+ezrssiiyaPvLvOM/uKDDz7QB++/L8n5vtI+NtatCJbpcCg0LMztWKvVqpycHN6HygDj\nUrGFWEPcnt9Tj0PDXJ9ja4h7YdnhyFQYY+ERs2fO0OwC58aOzIJjk6mQEJ7v8paTlSlLgUKaJbew\nmVNgjNJ+nq/035Yox+48D047tF/BDZqqaufLlDp/TvkE9hPW4CBlFig8Z+YWNkOLmJlZK7yqaoVX\nVevG9bUuYa+++PkvCpw+zJLvCipUDqUtcPaUdLlpmu4r8FZi9erUVsrRY8rOzlZA7u5SSUeOKCTE\nqurh1c5yNDzpHzffoit79c57/PFHHyo5Odmlz5HkZNWuU6e8o6GEUvcdVPVI1/VrakTW1dG/D3kp\nUeVVr3ZNpR5Lc30NSzmqUKtV1atVdet/MOmI7nh8ggIDAvTR+LEul7DDM+rXilBKWrrrmKQeVYjV\nqupV3S+NOpicoiFPT1ZAQIBmvviIyyXsODf9+vVT796n31dmzJih5CTXNdCSkpNVt5D3lYiICIWE\nhCgpOVnNoqIkSSdPntTRo0cL7Y/iY1wqtnr16iolNdX1NSw5WSEhIaoeHl6gbz0lFThXS05OVh3G\nwiP+8c9+6tHrqrzHH3/0oY4U8nxzblz+stNSFVClmpwXPTpXeAuoVkM5WQ7l2N3X0T5V3DwlK+mA\nguo0cOuHc1M/Ilwp6SeUnZ2jgADnBalJR9MVYg1S9SquXwRsTNyvgACL2jY9PQ4tG9RVwgHWSgUq\nktLuAb9Pkt9t5damVUsFBwVq3cbTmwqtXh+v9m1aezGVfwoPD1ejxo3zbu1j4xS/3nWDgQ3r1yqm\nPStsVXQ7V61Ry4s7u7S1vKSzdq5a46VElVfbFk0VFBiodVtOr7/158atat/KfZH7DJtddz09SUFB\ngZo1Yazq1KxRnlH9RpvmTRQcGKh1W09vKvTXpu2KjW7m1jfD7tDdz09RUGCgZr34iOpEVHfrg9Kr\nXr26GjdunHeLi4vTugIb16xdu1ax+TZTOcVisSgmJkZr1px+3Vq3bp2CgoLU2jDKPHtlxrhUbIZh\nKCgoSOvXb8hrW716jWJiYtz6xsXGat061w1u1q5dq7hYztU8ITw8XA0bNc67xcTGKb7ABk7xnBt7\nhePAHuWcPClr49PnWyHNopW5b5db34i+tyui7yCXtuD6jZWVfKDMc/obo0mkggIDtX7n3ry21dt3\nq32zhm59v1q5Rm/MW+rStmn332oRyRcGQEVS2gLnaEnvGIZxtWEY0YZhNM1/82TAiiQ0JETX9+6p\n5ydNUfyWrVqy4hd9NPcrDbr5RklS0pEU2e2s6eQN3Xv0VHpamqa89qoSdybo9Vcnymaz6cqezm+y\n7Xa727fY8J7wenUUlLusw+r/fK+wiOrq99pTimzTUre8/oysVcL01+ffeTll5RMaYlXfHpfo2bdm\nKn7bTi3+9S/NnLdAg29wzo5KSjkqe+7lg9Pnfqt9Bw/r5VF3KTs7R0kpR5WUclTp7NjtUaEhVvXt\n1lXPTftE8dsTtfi3tZr59SINuq6HJOfl6Pbc9emmf/G99h5K1riHbld2To6SUo8pKfUYY1JGevXq\npbS0NL3yyitKSEjQhAkTZMvI0FVXnX5fyX/lwC233KKPZs7UsmXLFB8fr3EvvaR/3nyzQljCxqMY\nl4olNDRU1193nV4c95I2btykpcuWafbs2Rp4222SnDMG7Xa7JKlXz57OsXv1VefYTXxFGTabrrqq\nlzf/CpVW9ytdz43fmPRK7rmx8/nm3LgcZWXqxPpVirhugIIbNFOo0UHVLuql9N+WSJICqobnrcVp\n27pOVWK7KCyuiwJr1lH45dfK2rSljv+29Ez/B5RCqDVY13eN0wufzNfGxP1aunaLZi36VQN7dJUk\nJR9Llz132aCbL+ukP7Ymas7S37X70BG99c1ybUzcr4E9u3jzrwCggNIWOL+UdL6k7yWZknbm3hJz\n/1tpjRl+t2KMVho28jGNe/1tDR82WFdedpEkqfuNt2nBsp+9nNA/ValaVRMnv6G1a1brzsEDtHlT\nvF59Y6pCctd1Wrpoof7R56pCj7VYLIW2w4NyclweTvj7d3W+5VpJkj39uN66bqiiL79QY//8VlEX\ndtCb19yhTJvdG0krvcfuvE0x0VG6Y+x4vTTtYz008Cb1uMi5cdDlg0bohxW/S5IW/fKnbA6H/vXw\nc7pi8Ii828vvfuLN+JXSo0P6qV3Lphry9GSNe+8zPXhbX/Xo0lGSdMXQMVqw8k9J0uJVa2R3OHTr\no+PVbdiYvNvLH3zuzfiVVtWqVTXlzTe1+q+/dFv//toYH6+33n47b+3GhQsXqlfPnnn9e199tYYO\nG6YXX3hB9993n+I6dNDIkSO9Fb/SYlwqnn8/8rDatm2ru+65R+MnTNT999+v7t27SZJ69LpKP/64\nSJJz7N584w39tXq1+g8YqPj4eL099U3WQy0jVapW1YTX3tC6tat11+0DtXljvF55/c1858Y/6sZr\nexd6LGfGnnd04Rdy7N+tOrePUo1rbtWxZd/IZjpno0c+MlFhMedLkmxb1ip1/hyFX9ZH9e57RqGt\n45T88RSdPJbizfiV1uh+V6ld0wa6c/IsvfzZAj3Qt7u6d3TO8L9yzGta+Kdz9/q2TRvo9Xtv0Vcr\n1+jmF6Zr5cbtmjZygOrWCD/THw+gnFlyChQeisMwDPdr5/IxTdN9vv3Z5WQerNS1UZ8SXN95CcXh\nYye8nAT51a1eRfdaorwdA/lMy0mUJGVvX+XdIHAREN1VJzct93YM5BPYrpskKcPGBmIVSVhoKGNS\nwZzadMd24riXkyC/0CpVdegoY1KR1KvhXD9833P3eDkJTmn0zHRJkn05X4hXJCHdBkh8d+Fm578H\nlbwY5geavzrbZ/+tlGqToVIWMAEAAAAAAACvsgSW9oJmVFTFLnAahnFSUgPTNA8ZhpGtU1vAFcI0\nzUBPhAMAAAAAAACAMynJDM4rJR3Jvd+9DLIAAAAAAAAAQIkUu8BpmuZPhd0vyDCMBucaCgAAAAAA\nAACKo1RrcBqGYUiaIClG0qnL0S2SQiTVK+2fCwAAAAAAAAAlUdpC5HtyFjZfkfS6pNGSmkl6QNIw\nz0QDAAAAAAAAPCsggE2GKpvSjugFkh4wTfNdSaslbTZNc4ykEaLACQAAAAAAAKCclLbAmSkpNff+\nFknn5d5fJCnuXEMBAAAAAAAAQHGUtsD5i6TRhmGESfpTUl/DMCySzpdk91Q4AAAAAAAAADiT0q7B\n+bCkbyQlSJom56XpRyRVk/S8Z6IBAAAAAAAAwJmVeAanYRjhkhIltZL0jmmax+WcuTlQ0hW57QAA\nAAAAAABQ5oo9g9MwjMaSZkrqntv0g6RBkk5IsklqK+kpOdfnBAAAAAAAACocSyC7qFc2JRnRqZKi\n5Cxq/ktSpKTJhmE0lPSbpPGSPpNkeDgjAAAAAAAAABSqJGtwXibpFtM0l0iSYRhrJK2W1EGSRVJX\n0zT/9HxEAAAAAAAAAChcSWZwRkjadOqBaZo7JFnlXI/zAoqbAAAAAAAAAMpbSQqcFkknC7RlSXrW\nNE3W3QQAAAAAAABQ7kpyiXpR0jzwZwAAAAAAAABljk2GKp+SFjhvMQzjWL7HgZJuMgzjUP5OpmnO\nOudkAAAAAAAAAHAWJSlw7pb0SIG2g5IeKNCWI4kCJwAAAAAAAIAyV+wCp2maUWWYAwAAAAAAAABK\njEUHAAAAAAAAAPgsT2wyBAAAAAAAAPgESwDz/SobRhQAAAAAAACAz6LACQAAAAAAAMBnUeAEAAAA\nAAAA4LMocAIAAAAAAADwWRQ4AQAAAAAAAPgsdlEHAAAAAACA37AEMt+vsmFEAQAAAAAAAPgsCpwA\nAAAAAAAAfBYFTgAAAAAAAAA+iwInAAAAAAAAAJ/FJkMAAAAAAADwG2wyVPkwogAAAAAAAAB8FgVO\nAAAAAAAAAD6LAicAAAAAAAAAn0WBEwAAAAAAAIDPosAJAAAAAAAAwGexizoAAAAAAAD8RgC7qFc6\njCgAAAAAAAAAn0WBEwAAAAAAAIDPosAJAAAAAAAAwGdR4AQAAAAAAADgs9hkCAAAAAAAAH7DEsB8\nv8qGEQUAAAAAAADgsyhwAgAAAAAAAPBZFDgBAAAAAAAA+CwKnAAAAAAAAAB8FgVOAAAAAAAAAD6L\nXdQBAAAAAADgNyyBzPerbBhRAAAAAAAAAD6LAicAAAAAAAAAn0WBEwAAAAAAAIDPosAJAAAAAAAA\nwGexyRAAAAAAAAD8BpsMVT6MKAAAAAAAAACfRYETAAAAAAAAgM+y5OTkeDvDKRUmCAAAAAAAQCVh\n8XaAiiZpyiPUoApR56FJPvtvhRmcAAAAAAAAAHxWhdpkKCEpzdsRkKtFnXBJ0uzVe72cBPkN6tRY\n2dtXeTsG8gmI7ipJutcS5dUccDUtJ1Eb+vfxdgzkE/vp95Ik+7EjXk6C/EKq15I9LdXbMZBPSHiE\nJOmbTQe8nAT59W0Xqc/X7/d2DORzS1xDSZJ98YdeToJTQnoOkSSd3LPBy0mQX2CTWG9HAMpFhSpw\nAgAAAAAAAGXJEsAFzZUNIwoAAAAAAADAZ1HgBAAAAAAAAOCzKHACAAAAAAAA8FkUOAEAAAAAAAD4\nLDYZAgAAAAAAgN8ICAz0dgR4GDM4AQAAAAAAAPgsCpwAAAAAAAAAfBYFTgAAAAAAAAA+iwInAAAA\nAAAAAJ/FJkMAAAAAAADwG5ZA5vtVNowoAAAAAAAAAJ9FgRMAAAAAAACAz6LACQAAAAAAAMBnUeAE\nAAAAAAAA4LMocAIAAAAAAADwWeyiDgAAAAAAAL/BLuqVDyMKAAAAAAAAwGdR4AQAAAAAAADgsyhw\nAgAAAAAAAPBZFDgBAAAAAAAA+Cw2GQIAAAAAAIDfsAQw36+yYUQBAAAAAAAA+CwKnAAAAAAAAAB8\nVqkvUTcMo7akaEkhBX9mmubP5xIKAAAAAAAAAIqjVAVOwzAelPSqpOBCfpwjKfBcQgEAAAAAAABA\ncZR2BudTkl6Q9KppmjYP5gEAAAAAAACAYittgTNb0hcUNwEAAAAAAOBLLIFsSVPZlHZEX5A00TCM\nZp4MAwAAAAAAAAAlUdoZnFslvSgpwTAMtx+apskanAAAAAAAAADKXGkLnNMlLZQ0U1KGx9IAAAAA\nAAAAqPAMwwiR9LakmySdkDTJNM3XznJMlKQNkq41TfNnT2UpbYGzrqSxpmnu9FQQAAAAAAAAAD7j\nVUmdJHWTFCVplmEYiaZpfnWGY96RVMXTQUpb4PxQ0u2SnvVcFAAAAAAAAKBsscnQuTMMo4qkYZJ6\nm6a5TtI6wzAmShouqdACp2EYAyRVK4s8pS1w1pB0t2EYwyTtlJSV/4emaV55rsEAAAAAAAAAVEgd\n5Kwr/pqv7X+SHi+ss2EYtSWNl3SVpI2eDlPaAmeCpJc9GQQAAAAAAACAT2ggKck0zfyTHg9KCjUM\no7ZpmskF+r8maaZpmpsL27D8XJWqwGma5nOeDgIAAAAAAADAJ1SRZC/QdupxSP5GwzB6SrpY0l1l\nFaZUBc7c6+zvlhQjKTC32SLnX+A80zTbeiYeAAAAAAAAgArGpgKFzHyPT5xqMAwjVNI0SfeZpuko\nqzClXVX1fTmvqa8qaZAkq6R2km6V9JlnogEAAAAAAACogPZJqmMYRv7aYqSkDNM0U/O1XSipuaQv\nDcNIMwwjLbf9B8Mw3vZUmNKuwXmNpH6maS42DCNG0mTTNP8yDGOSnLM6AQAAAAAAgArHEsAu6h6w\nVlKmpK6Sfsltu0zSHwX6/SapVYG27XLuwL7YU2FKW+AMlbQ19/5GSedL+kvSdEk/eyAXAAAAAAAA\ngArINM0MwzBmSZpmGMZQSY0lPSLpdkkyDKO+pKOmadrk3Kw8T+4mQ/tN00zyVJ7Slqw3S+qZez9e\n0qW592vIWfwEAAAAAAAAUHk9LOeEx6WS3pT0lGmaX+f+7G9JtxRxXI6ng5R2Buezkr4wDCNQ0mxJ\nGw3D+FZSnKQFHsoGAAAAAAAAoAIyTTND0pDcW8GfFTmp0jTNwKJ+VlqlmsFpmuY3ktpKWmaa5h45\nr7HfIukdSUM9Fw8AAAAAAAAAilaqGZyGYTSVFCHJahiGVdIO0zRHezQZAAAAAAAA4GGWAI9PIISX\nlajAaRjGSEmj5dz2Pb9swzBWS3opd3YnAAAAAAAAAJS5Yl+ibhjGGEkjJI2SFCPpGkmrJN0n59qb\n/5H0sWEYg8sgJwAAAAAAAAC4KckMzuGS+pumuTL38RbDMNZL2igp0jTNVwzD2CbpFUmzPJwTAAAA\nAAAAANyUZJOhUEknC7TZ5VyLs0bu43hJ9TyQCwAAAAAAAADOqiQzOL+WNNMwjLsl/S6pkaQpktaZ\npplkGEZ7SS9LWub5mAAAAAAAAADgriQFzpGS3pe0XFKOJIuca3DenPvzSZJOSLrHg/kAAAAAAAAA\nz2EX9Uqn2AVO0zSPS+pvGMZwSS0kHTRNc3e+Llebppnj6YAAAAAAAAAAUJSSrMEpSTJNM1nSq5L6\nGIZRO187xU0AAAAAAAAA5arEBc5c30i6Q9J+wzAWGoYxxDCMGmc5BgAAAAAAAAA8qlQFTtM0J5mm\n2VVSa0mL5Vx382/DMP5rGMathmFU8WRIAAAAAAAAAChMSTYZcmOa5i5JrxiG8ZWkoZJGSeojyW4Y\nxhxJT5qmefjcYwIAAAAAAAAeEFDaC5pRUZW6wGkYRrSkfrm3WDl3V39Q0peS6kp6S9J8SReec8oK\naPvWLZr6ynglJmxXVIuWGv7vsYo22pz1uDfGv6g69eprwNC7yiGlfzmwc5t+mPGGDu3ZqbqNo3TN\nsBFq0Lx1oX0z7TYt/OgtmX/8T1KO2nS5XL0G3idraFj5hq7EHJmZeu6tWVr8y58KDbVqyI3X6I4b\nry607/Lf12rK7C+16+9DahpZTw8Nukndu5xXzon9S5DVqrF/fqNPH3ha21f8XmifJh1j1P+dF9Uo\n1tD++K2ac98T2rNmYzknrfwsQUFqOPQB1bjgYmU77EqaP09J388rtG9Ikyg1Gnq/wppHy35gv/7+\naLqOb95Qzon9g8Ph0EsTXtHiZT8pLDREgwfcpsED+hfad7Np6sXxr2jb9h2KbtlCTz42Ru3aGOWc\nuPJzOBx6afxELV62XGGhoc4xGXhboX03bzH14vgJuWPSUk+OHaN2bc5+nobS2ZewVV9Nn6y/dyUo\nsmlz3XTPw2rcsvBzMIfdpq/fn6L43/4n5eQo9uIr1HfIA5yDlYH9O7fp2/cm6+DunarfJErX3zVK\nDVsUPS7ffzhVm39foZwcKabr5brm9vsZFw9xZGbppbk/avFaU2HWYA3ucaEG9yj8Y/L83zdq2g8r\ndTDlmNo2idTom3uofbMG5ZzYPzgcmXp+ynta/L/fFBoSojv6Xa87br6+0L4/rfpLb3z4qXbvP6Am\nDSP10B23qvtF55dzYgBnUqqStWEY6ySZkm6Q9JGkJqZp9jJN8wPTNFNN09wm6V1JrTwXteKw2Wx6\n5t8jFXteJ02d8bHaxMTp6dEjZLfbznjcF598pIXffV1OKf1Lpt2mzyY+oaZt43TnuGlq3Kqd5k58\nQpkOe6H9F370lg4kbtOAJ17RgCde1f7tphZ/PK2cU1duE9//TJt3JOqj8WP19H236605/9WPLS4o\naQAAIABJREFUK/9062fu3K0R46bqn72v0H/ffEH9ru6mEeOmamviHi+k9g9BVquGfTpFDdoV/RId\nHBaqB+bP0LafftO4Ttcp4dfVGj7/QwWHhpRjUv8QOfBOhTWPVsILj2nfjLdV75+3qfoFF7v1CwgL\nU/OxL8q2Z5e2jrlfx/74Vc0eflKB4dW9kLrym/TGm9q8xdSMaW/piUdHa9p7H2jx0uVu/TJsNg0f\n+W+d3+k8zZ09Ux1i22v4yEdks535nAAlN+n1Kc4xmf527pi8r8VLl7n1c47Jwzq/UyfN/XiWOsS1\n1/ARDzMmZcRht2nGi4+pRUwHjZz0npoZMZrx0qPKtBd+Dvb1+1O0L2Gb7n5uku5+/jXt2bZZ3374\ndjmnrvwcdps+fnmsotp10H0TpqtJ6xjNfnlskePy/YdT9XfCVt3x1CQNeXqS9m7fogWz3inn1JXX\npHlLtXnPAc0YeZue+NdVmvb9Si1ea7r1W719j56d84Puu/ZSzXvqTsU1b6j73/pcGY5ML6Su/CZO\nn6VN2xI0c9JzeuqhO/X2rC+0aMUqt35mQqJGPPeqbu7TQ/OmT9ItfXpq5POvamvCLi+kBlCU0s7J\nnSuplWmaXU3TfMM0zQOF9FkgqUnpo1VcPy1eqJDQUA27/yE1bhale0c+oipVqmrF0sWF9j9x/Lhe\nfGKM/vPJLNWtH1nOaf3Dxl+WKTgkRD1uu1u1GzbRVbc7ZwJsXvVTof2Dgq26+o4HFRkVrcioaHXs\ndrX2mPHlnLryyrDZ9eWin/X4PQPVpkVT9biok4b9s4/mfOf+OzL/p1Xq2qGdBlzXU00a1NNt1/VQ\nl7i2+qGIWYU4N5FtWmrMqnmq3fzML88X3Hq9HCcyNO+x8Tq4NUFfjHpetrR0dep3bTkl9Q8Wa4hq\ndbtK+2dOk233TqX9tUqHv/2Pavd2nz1Q8/JeyrZlaP+Mt5R56IAOffmJ7Af2K6xFpfwu0asybDbN\n+/pbPfrvh2W0bqXuV1yuOwYP1Kdf/Met74IfFyk0NESjHnxAzaOa6dFHRqlq1Sr6cclSLySvvJxj\n8o0eHf2wjNat1b3bFbpj8CB9+vkXbn0XLPxRoaGhGvXQ8Nwxedg5JosZk7KwdsUSBYeE6trB96pe\no6a6YdiDCgmtonW/uBefJSnYatU/7hqhRs1bqVHzVrqgRx/tZCa6x21YuVTB1hD1HniP6jZqqj5D\nhiskrIriVy0vtH9QsFXXDhuhBs2j1aB5tDpfeY12bWFcPCHDkal5v6zXo/16yWhcX907tNYdvbro\n05/+cuubdOy47rnmEvU5v50a1Y7QvX0u0dETGUr4O8kLySu3DJtdXy1YoseHD1WbllHqccmFGvqv\nGzTn6wVufecvXamu58XqthuuUZOG9dX/hqvVpUN7LfjpFy8kB1CU0hY475SUWrDRMIyGhmEckiTT\nNNNN00w/l3AVlbkpXjFxHV3a2sV20Ob4wk8CDv69X1mZmXpzxieKbNCwPCL6nX07NquJ0d6lrbHR\nXnu3bSq0/9VDHlTj1jGSpNTDBxT/yxI1a9ex0L4ouS079+jkyZPq2DY6r61TTGutN3e49b2x52V6\nZEg/t/b04xllmtFftbqiq8wlKzXxopski6XIflFdztOO/7nOuN2x8i+1uKhTWUf0K2HNmkuBgTqx\nbXNe2wlzo6q0dL+8uWrbWB3781eXth1PjVL6OvcPSDg3W7duU9bJk+oQe/p9pVOHOG2Id1+iYUP8\nRp3XoYNLW8e4OK3bwJdmnnR6TGLz2jp17FD0mHQsMCYd4rRuA8WasrB722ZFtY11aYtq2167zMKX\nNPnHXSMV1cb5u3Xk0N9a8/NiRcdyDuZpe7dtVrM2ruPS1GivPWbh58bXDXtITQ3nuXHKoQNav2KJ\nmsewXJAnbN17SFnZ2erQvFFeW6eWjbUh8W+3vld1aqM7e18kSbJnZmnWkj9UO7yqWjSoU255/YWZ\nkKisk9nq2O70OVfn9m20fss2t7439u6mh+8c4NaedvxEmWYEUDLFXoPTMIyb5dxASJKaSXrLMIyC\nFYgoSVmeiVZxHUlKUlSLaJe2iFq1tGtnQqH9m0e30rMTJ5dHNL+VnnJEdZtEubRVq1FTh/cmnvG4\nb96ZoPUrFimibqQuu2lg2QX0M4ePpCqieriCAgPz2upEVJc9M1Mpx9JVs3q1vPbmjV3XFNq2a69W\nrduk/tdeWW55/cmK6Z8Uq1+NBnW1P36rS9uxg0lqGMNsQU8Kiqilk2nHpOzsvLaso6myWIMVWC1c\nJ9PT8tqt9SN1YoephsOGq3rnrnIcPqADH3/gUhyFZxxOSlbNiAgFBZ0+Tapdu5YcDodSU48qIqKG\nS9/oli1cjq9dq5a2JxR+ToDSOZyUVLIxiS44JrUZkzKSlpKsyKbNXdrCa9TSgT07z3jcZ1Ne1url\nC1WzXgP17Hd7WUb0S2kpR1S/aZRLW7UaNXXoLOfGX00dr7U//6iIeg3U7eZBZRfQjxw+lq6a1aoo\nKPD03KLa4VXlyMxSanqGIqq5r3P6m5moe6fOlSS9fEdfhVmDyy2vvzicnKKaNVw/r9SuGSG7I1Op\nR9MUUSM8r715k0Yux25L3KNVazbo1r69yy0vgLMryQzOU9f6Woq4SdJGSf/wWLoKym63K7jAm0xw\nsFWZDoeXEiHTYVdQkNWlLTAoWFmZZ16v5uK+/TXk+amqUaeePh3/WFlG9Cs2u13WYNfvT6zBzt+Z\nzDOMScrRNI0YN1WdY1rryq7MFPQma5UwZdldX9Oy7A4FhViLOAKlERASopwCvxPZuY8twcEF+oaq\nbt9+yko9osTxT+n45nhFPf6igmrWLre8/sJmsxX6Pi9JjkyHW1+r1fX3ItgafMbXOpRcicbEbpM1\nuJAx4TytTDjsdgUWeL4Dg89+DnblTbdp+Ph3VLNuPb3/wuiyjOiXMh22Uo3LZTfeprtfeksRdepp\n1kuPlmVEv2FzZCo4KNCl7dRjR1bhc4NaNaynuY8N0f3XXqYnZ32nDYn7yzynv8mwO/I+n5xy6vOL\n44yfV45p5HOvqHNsW1158QVlmhFlyxIYyK2Qmy8r9gxO0zQPSxoqSYZhJEp6xTRNv5iTPXfWh5o7\n60PnA4tFbdrFKLPAQs+ZmQ6FhoZ6IZ1/WvnfOVr59RznA4tFjVq2UVaW6weXk1mZCg4584YodRo1\nlSTd9NBTev3+W7Rr83o1axtXJpn9SYjVKkem6wnbqROF0CIKZEkpRzXsyYmySJo8dnhZR8RZZNrs\nbsXMoBCrHCfYpMOTsh0O90Jm7uPsAhtB5GSflC1xhw596Xzts+3eqfC4Tqp52ZU6/I37OoQoPWuI\ntdD3eUlu7/UhIVY5ChTOMh2ZnBN4mNVagjGxWt2KnoyJ5yz98mMt/c/HzgcWi5q2bquTBZ7vk5mZ\nsoac+fmu17iZJGngI8/qhWH/VMLGdWoR0+GMx6BoP837RD9/5bxKw2KxqHF04eNytnPjurnnxreM\nelqv3H2zEjetU1Q7xuVcWIOClJl10qXt1OPQImZm1gqvolrhVdS6UT2t27lPX6xYo9goljrzpBBr\nsFsh89Tnl9AiNtVMSknVnWOel8Vi0eSnHinzjABKpiSXqF8u6RfTNLMkLZN0vmG4rxEmSaZp/uyZ\neBXDtTferMt79Mp7/PnHH+nIEdeFnlOSk1WzNmujlJfOvfqq3UXd8h7/8s1nOp6a4tInPfWIqkW4\nz2w6mZWlbat/VYu482UNdV4SUrVGTVWpVl0ZaUfLNLe/qFe7plKPpSk7O1sBAc6J4kkpRxVqtap6\ntapu/Q8mHdEdj09QYECAPho/1uUSdnhH6r6Dqh5Z16WtRmRdHf37kJcSVU5ZKcnOXdAtFiknR5IU\nVKOmsh0OZZ847to3NUX2/Xtd2ux/71NwbddxwrmrX7euUlJTXV/Dko8oJCRE1cPDXfrWq1tXycnJ\nLm1JycmqU4eZtZ5Uv1499zFJSi56TJIKGxPO0zzhoqtvUIdLTi8js+yrT5SWcsSlz7HUIwqvWcvt\n2JNZWdr0xy9q3fF8hYRVkSRVi6ipKuHVdfwY52Dn4sKrblDsxd3zHq+YN0fpqa7jkp56ROFFnBtv\n+esXRcddoJAw57lxtRo1FRZeQ8c5Nz5n9SPClZJ+QtnZOQoIcF74mHQsXSHBQapexfWLgI27/lZA\ngEVtm5zemLZlgzpKOOD6moZzV79OLaUcLfB55UiKQor8vJKsIf9+TgEBAZo56TmXS9gBVAwluUR9\nuaRa+e4XdSt8y0QfVi08XA0aNc67tW0fq80b1rv02bRhndrExBbxJ8DTQqtWU836DfNujVq1095t\nrovZ79m6UY2i27odawmw6Jt3JmjbmlV5bUeTDupE+rG8GZ04N21bNFVQYKDWbTm9qdCfG7eqfavm\nbn0zbHbd9fQkBQUFataEsapTs4ZbH5S/navWqOXFnV3aWl7SWTtXrfFSosopIzFByjqpKtFt8tqq\ntmmvjB1b3fqe2LZFoQXWuQtp2FiOwwfLPKe/MVq3UlBQkNbn2yho9Zq1at/O/T0lrn17rV3vunnN\n2vXrFdc+psxz+pNCx2RtEWMSW8iYrFunuNj2bn1RcmFVw1U7smHerZkRo8QCGwrt2rJBzVq7/w5Y\nLBbNnTJOm/86fQ6WcvigTqQdU73GnIOdi7Cq1VSrfsO8WxMjRrsLjosZryatCzk3tlj01dTx2rr6\n9EZ2qYcPKiPtqOo2albm2Ss7o3E9BQUGan3ivry21Tv2qn2zBm59v/plvd74+ieXtk27D6hFJF+a\neVqbllEKDgrUus2nz7n+it+sWKOlW98Mm113P/aS8/PKa8+pTs2I8owKoJiKXeA0TTPANM1D+e4X\ndfPti/aL4dJuPXQ8PV3T35ik3Yk7Ne31V2W32XR5j56SnGsRpRzhW7by1LbL5bIdT9ePs95W0r5d\nWvjRVGXZbXmzPLMcjrxvsQMCAtWp5/Va9tkH2mPG6++ErZo35UUZ51+iOpzEeURoiFV9e1yiZ9+a\nqfhtO7X41780c94CDb7BuRB3UspR2XMv6Zw+91vtO3hYL4+6S9nZOUpKOaqklKNKP8Eu6uUtvF4d\nBeVeurb6P98rLKK6+r32lCLbtNQtrz8ja5Uw/fX5d15OWbnkZDqUsmKJGt45XGEtWqn6+RepzrU3\nKumHryVJQTUi8i5hP7L4e4U2ba56N/WXtV6k6t08UNZ6kUr931Jv/hUqpdDQUF1/7TV6YfxEbdy0\nWUuX/6RZn3yqgf3/JUlKTj4ie+4SAr16dFdaWromvva6EnYmavyrk2Wz2dS7Zw9v/hUqHeeY9NEL\nL084PSYfz9HA/rdKkpKTk/ONyZVKS0/TxEmTlbBzp8a/Okk2m50xKSOxF3dTxvF0fTNjqg7uSdTX\n70+Rw25Xh0ucswkzHXalnToHCwxU19436IeP39POzRu0d4epTyY9p5gul6p+gc0icW5iul4h2/F0\nfT/zLR3au0vzZ7ypTLtd7S86NS75zo0DA3VBr75a9OkH2rVlg/btMPX56y+ozQWX5i0lgNILtQbr\n+gvb64VPF2rjrr+1dN1WzVryuwZ2P1+SlHzsuOy5l0bffGkH/bFtt+Ys/1O7D6Xore9WaOOuAxrY\nnbUePS00JER9e16h515/V/Hmdi1e+btmfvGtBt10rSTn5eh5n1fmfKm9Bw5p3OgHlJ2To6SUVCWl\npCqdXdSBCsWSk3tJ3NkYhlHsr1VN09xdiiw5CUlpZ+9VQWzdvElvvjJOe3YlqnnLVnpozONqHu3c\nXXjR99/p9Zef1/wVv7sd99iD9yr2vM4aMPSu8o5cIi3qOKfcz1699yw9K479O0x9/8FkJe/fo3pN\nm6vPsFGq38z5Ddy6nxbqu+mv6ok5iyQ51+dcPneGNvxviTIdNrW58DL1vn143iXrFdWgTo2VvX3V\n2TtWADa7Q8+//ZF+XPmnwqtW0bB/9tHAvs6lHtpdd4fGjbpT/+hxqa695zEl7j/gdvw/elyql0be\nWd6xSywguqsk6V5LlFdzlMbbWTv0Wvf+2p77WvX2yQR9dMe/9dvsryRJTTvHasD0cYps01L71m/R\nJ/c8rn0btngzcrFNy0nUhv59vB2jWCzBVjUc+oBqXHiJTmYcV9K3/1Hywm8lSe0/+U57p72m1BXO\nImaVVm3U4I77FNqoiez79mj/R9N1Yusmb8YvtthPv5ck2Y8dOUvPisFms+mlCa9q8bJlqla1moYM\nHqjb/tVPktThwov1wjNPqu+1zn9jGzdt1vMvT9DOxF1q3SpaT499VK1bRXszfrGFVK8le1qqt2MU\ni3NMJmrx0mWqVq2ahgwapNtuvUWS1OGCrnrhmafV97p8YzLu5dNj8vhjat2qlTfjF1tIuHNm0Deb\n3N8bK6o927foy3cm6dC+3WrQrIX+ed+/1TDKeQ7259IF+vytCZr4pfMir6zMTC2Y877W/LRIDrtd\nsRddrhuGPZh3yXpF1bddpD5f71sbvezbYeqb6ZN0eP8eRTZtob73PKzI3HPjNcsXaN7br+j5z5dI\nco7Lks8+0LoVi5Vpt6ldl8vVZ8iDeZesV0S3xDnXpLQv/tDLSc7O5sjUS3N/1OK1pqqFhmhIry66\nrZuzwNlh+Hi9MOha9e3ivBpwRfwOvfHNcu0+nKroBnX0WL9eimvuG+tvhvQcIkk6uWfDWXpWDDa7\nXc9PeV+LVqxSeNUqGnrLDRp4o/N9JKZXP40b/YBuuKqbrhs6Qol7/3Y7/oZeV+il0Q+Ud+wSC2wS\nK53eGBq5Mr6ZUrximJ8J6/uQz/5bKUmBM1tSYZ1P/eXzflbKWZw+VeCs7HyxwOkPfKnA6S98ucBZ\nmflSgdNf+FqB01/4UoHTX/higdMf+GKBs7LzpQKnv/C1Aqe/oMBZOAqchfPlAmdJ1uBsLqlF7u1B\nSdskXSepnqQIST0krZNU8b/CAAAAAAAAAFApFHsXddM0d526bxjGY5L6mab5W74uyw3DuFvSt5Km\neS4iAAAAAAAAABSuJDM48wtX4cXRGpKCSx8HAAAAAAAAAIqv2DM4C/hY0mzDMJ6U87J0i6QLJD0v\nabqHsgEAAAAAAACeFVCarWNQkZW2wDlKUpqkyZLq5rYdlDRV0jgP5AIAAAAAAACAsypVgdM0zSxJ\nj0t63DCMOrltSZ4MBgAAAAAAAABnU+wCp2EYgyXNNU3Tnnu/4M/z7pumOcsz8QAAAAAAAACgaCWZ\nwfmcpPmS7Ln3i5IjiQInAAAAAAAAgDJX7AKnaZrNC7sPAAAAAAAAAN5S2k2GZBhGB0ltJIUU+FGO\naZqzzykVAAAAAAAAUAYsAQHejgAPK1WB0zCM8ZLGSDokKaPAj3MkUeAEAAAAAAAAUOZKO4PzHknD\nTNP80JNhAAAAAAAAAKAkSjsn96ikPzwZBAAAAAAAAABKqrQzOB+R9JZhGE9L2iUpO/8PTdPcfa7B\nAAAAAAAAAOBsSlvgDJPUWdIyOdfcPMWS+zjwHHMBAAAAAAAAnhdA2aqyKW2Bc6Kkd3NvBTcZAgAA\nAAAAAIByUdoCZ6ikqaZpJngyDAAAAAAAAACURGk3GXpV0ljDMEI9GQYAAAAAAAAASqK0Mzh7SbpI\n0mDDMA5Kysr/Q9M0W5xrMAAAAAAAAAA4m9IWOGfm3v7P3n2HN1n1YRy/u9Ky91IUynoQaFkunAiC\nE9yDqYCvioAiDnCLDBFkORBeF6KiqMiLioIyRRRU9jyMUsAFtFAo0CQt9P0jpTZNCm2aNqT5fq4r\nl83JSa+bHtuc/HKecwAAAAAAAAAgYHwqcBpjPvB3EAAAAAAAAKDIcYp6ieNTgdOyrEWSMvN63BjT\nzudEAAAAAAAAAJBPvl6ivtjL96kn6QZJwwsTCAAAAAAAAADyy9dL1Id6a7cs615Jt8l1yjoAAAAA\nAAAAFKlwP3+/JZLa+/l7AgAAAAAAAIBXvu7Bea6X5nKSnpCUWJhAAAAAAAAAQFEJC/f3ej8Emq97\ncCbKdchQWK72PZL6FCYQAAAAAAAAAOSXrwXO2Fz3MyU5jTH/FDIPAAAAAAAAAORbvguclmXtlKuQ\neao+kiRjTL3CxQIAAAAAAACA0yvICs4Xc90Pk/SWpOcl7fNXIAAAAAAAAADIr3wXOI0xH+Rusyzr\ndUkzjTEJfk0FAAAAAAAAAPng6x6cAAAAAAAAQPAJjwh0AvhZeKADAAAAAAAAAICvKHACAAAAAAAA\nCFoFOUW9p5fmCEm3WJa1P2ejMWZaYYMBAAAAAAAAwOkUZA/OoV7a9krqn6stUxIFTgAAAAAAAABF\nriCnqMcWZRAAAAAAAACgyHHIUInDHpwAAAAAAAAAghYFTgAAAAAAAABBiwInAAAAAAAAgKBFgRMA\nAAAAAABA0KLACQAAAAAAACBo5fsUdQAAAAAAACDYhUVwinpJwwpOAAAAAAAAAEGLAicAAAAAAACA\noEWBEwAAAAAAAEDQosAJAAAAAAAAIGhxyBAAAAAAAABCRzjr/UoaRhQAAAAAAABA0KLACQAAAAAA\nACBoUeAEAAAAAAAAELQocAIAAAAAAAAIWhwyBAAAAAAAgNARHhHoBPAzVnACAAAAAAAACFoUOAEA\nAAAAAAAELQqcAAAAAAAAAIIWBU4AAAAAAAAAQSssMzMz0BlOOmOCAAAAAAAAlBBhgQ5wpnH+MpMa\nlBe2NrcF7f8rnKIOAAAAAACAkBHGKeolzhlV4HQcTQ10BGSJLlNOkjRxWUKAkyCnRy6tp+ObFgc6\nBnKIaNJWkrS+y/WBDQI3cZ98qwfD6gY6BnKYnJkoSXIeSgpsELixVagqZ8q+QMdADraK1SVJW/Ye\nDnAS5NS4Rnl9temfQMdADp2b1JQk2b99K8BJcFLM9X0lSc5fZgY4CXKytbkt0BGAYsEenAAAAAAA\nAACCFgVOAAAAAAAAAEGLAicAAAAAAACAoHVG7cEJAAAAAAAAFKlw1vuVNIwoAAAAAAAAgKBFgRMA\nAAAAAABA0KLACQAAAAAAACBoUeAEAAAAAAAAELQocAIAAAAAAAAIWpyiDgAAAAAAgJARFh4R6Ajw\nM1ZwAgAAAAAAAAhaFDgBAAAAAAAABC0KnAAAAAAAAACCFgVOAAAAAAAAAEGLQ4YAAAAAAAAQOjhk\nqMRhBScAAAAAAACAoEWBEwAAAAAAAEDQosAJAAAAAAAAIGhR4AQAAAAAAAAQtChwAgAAAAAAAAha\nnKIOAAAAAACA0BHOer+ShhEFAAAAAAAAELQocAIAAAAAAAAIWhQ4AQAAAAAAAAStQu3BaVlWDUnR\nuduNMbsL830BAAAAAAAAID98KnBalnW7pMmSKuV6KExSpqSIQuYCAAAAAAAA/C4sgrJVSePrCs7x\nkmZIel1Smv/iAAAAAAAAAED++VrgLCtpojFmqz/DAAAAAAAAAEBB+HrI0JuSHrMsy+bPMAAAAAAA\nAABQEL6u4PxC0kJJPS3L2ivpRM4HjTH1ChsMAAAAAAAAAE7H1wLnR5I2SJou9uAEAAAAAAAAECC+\nFjhjJXU2xiT4MwwAAAAAAABQpMI5Rb2k8XUPzq8lXe3PIAAAAAAAAABQUL6u4EyUNNGyrJ6SEiRl\n5HzQGNO7kLkAAAAAAAAA4LR8LXDWkPRpjvthfsgCAAAAAAAAAAXiU4HTGNPL30EAAAAAAAAAoKB8\nXcEpy7L6SHpA0nmSTkhaJ+kNY8wMP2UDAAAAAAAA/ItDhkocnw4ZsizraUljJX0rqYuknpKWSPqv\nZVl9/RcPAAAAAAAAAPLm6wrOAZJ6GmO+ytE227Ks1ZLGS3qr0MkAAAAAAAAA4DR8WsEpKUrSLi/t\nWySV8z0OAAAAAAAAAOSfrwXOoZLetiyr2ckGy7LOlTQu6zEAAAAAAAAAKHK+XqL+pKQaktZalnVE\nUoakipLCJF1tWdbYkx2NMezcCgAAAAAAAKBI+Frg7O7XFAAAAAAAAEAxCAv39YJmnKl8KnAaY5ac\n/Drr0vSqkrYaY474KxgAAAAAAAAAnE6+C5yWZYXLdWn6ZZIWSZok6VNJN8p1aXqGZVmvSRpijMko\ngqwAAAAAAAAA4KYga3JHSuoryUh6UNISSbGSLpRURlJ7uYqdL/s5IwAAAAAAAAB4VZACZ09JXY0x\nj0m6WdL5kvobY1YaY9KMMUsl/UfSPUWQEwAAAAAAAAA8FGQPztKSkiTJGLPRsqwfJR3M1SfVX8EA\nAAAAAAAAvwuPCHQC+FlBVnD+IGmiZVn1JMkY09YYs/7kg5ZlXSTpbUlf+TciAAAAAAAAAHhXkALn\nQ1n9X8z9gGVZd0r6RVKipEf9EQwAAAAAAAAATiffl6gbY/ZL6mhZls3Lw99JqmWM2eu3ZAAAAAAA\nAABwGgXZg1OSZIxxWpa1RNInkr4wxiQZY1LF/psAAAAAAAAAilmBC5xZvpJ0r1x7ci6W9KmkL40x\nh/yUCwAAAAAAAPC/sILs2Ihg4NOIGmPGGmMultRI0nxJD0j627Ks/1mWdbdlWaX9GRIAAAAAAAAA\nvClUydoYs8sYM0ZSN0njJXWUNE3SXsuypliWVc0PGQEAAAAAAADAK18vUZdlWQ0k3ZF1i5O0WNIA\nSTMlVZP0pqQ5ki4sdMoziNPp1IiXR2n+wkUqFROjnj26qWf37l77bt6yRcNHjtK27dvVoEF9PfvU\nU2pyXuNiThw69u/arh8/fEPJfySq8tl1dWXP/qpWp8Fpn7f6uy+0YdE36jF6atGHDCHO9HS9NOUT\nzV++WjHRNt3b+Wrde1MHr32X/L5eE6fP1u6/9+mcmtX0cNfOuuqC5sWcODSERUbqrN79VOGCS3TC\n6VDSnFlK+naW177R59TV2b0fUqnYBnL885f+/mCKjm5eX8yJQ0ekzaanfv9Kn/R7XtuX/uq1zzkt\nmqrLW8N1dpylvzZs1fS+z2jP6o3FnDQ0OJ1ODX9lrOYvXqJSMdHq2bWL7ul2t9e+m80NInW+AAAg\nAElEQVRWDX9ljLZtT1CD+vX07ODH1aSxVcyJSz6n06nho8dljUmMena9S/d09T4mJ61as07PvDRC\n3305o5hShqaErUZvjRulXQnbdW5sffUdNET1Le9z3vT0dH309iQtXfC9HHa7mrVopfsHPqEq1aoX\nc+qS78+Erfpyynj9vStBNc+N1a0PDFLt+o289nU67Jr9zmvasOInKTNTcZdcqc69+skWU6qYU5dM\nzowMjfhikRas264YW6R6tm2tnm1bee07Z+UWTZm3QntTUtW4dnU9cfMVanZuzWJOHBqc6RkaPm22\n5q/cqFI2m3pee5nuufYyr32/+XmNpny1UP8cOKTz6pylJ7vcoGb1ahdzYgCn4tMKTsuy1koykm6S\n9IGkc4wxHYwx7xpjUowx2yT9V1JD/0U9M4wdP0Gbt2zRe29P0TNPDdbk/76t+QsWevRLS7Or/8MD\ndX7rVpox/SM1j4tX/0cekd1uD0Dqki/dYdecCS/oLCtOd7zwhmrWb6w5E55XhtNxyucd2ve3fvvq\nY4UprJiSho7RU7/QpoTdmjpskJ67v4smffaNfvhllUc/k/iHHhk9WbdffalmjX9Od3a8XANH/1db\nd/0ZgNQlX83u96lUbAMlDBuiP9+bpOq3dVX5Cy7x6BdeqpRinxou+55d2vrkQzr82y+qM+hZRZQr\nH4DUJV+kzaY+n7ymWk3yftmMKhWjfnPe07YlKzSy1Y1K+GWV+s95X1Ex0cWYNHS8OvENbTZG77/1\nup558nFNfuc9zV+02KNfmt2ufo8+rtYtW2rGh++peVxT9Xv0Cdntp379QcG9+tqb2my26v1Jr+uZ\nJwZp8jtTNX/Rkjz7b92+Q489/ZwyMzOLMWXocdjtemnwQDVr3krj3vlQjZvGadjggXI4vM95p787\nWb/+9KMef2GEXpn0ro4fz9DLzz5ZzKlLPqfDrveGD1G9ps01cOzbqmM11XsjBivd4f1v0+x3XtOf\nCdt0/9Cxuv+lcdqzbbO+fn9SMacuucbOXqrNf+zTu/1u1zO3tdOUecs1f912j36rEv7U0Bk/qO+1\nF+nLIT3UvG4t9fvv/5TmTA9A6pLv1U+/1eZdf+n9If/RMz07a/LsBZr/+waPfqu2JurF979U35vb\n638jBqp5/XPVd9xUpTmcAUgNIC++XqI+Q1JDY8zFxpiJxph/vPSZK+kc36OdedLS7Jo1e7YGP/GE\nrEaNdFXbtrq3Z099MuMzj75z581TTEyMHn3kYcXWravBTzymMqXL6Pv58wOQvOTb/usSRUZHq80d\nfVSpVm1d1vVBRcWU1vbflp7yeT9++Ea+VnmiYNIcTn05f5mevu8uNY49R+0vaqHeN1+j6d8u9ug7\nZ+lvuji+sbpef5XOqVlNXa5rq4viGmnust+LP3gJF2aLVuW2HfXX1Mmy796p1JXLtf/rL1Tlmk4e\nfStd0UEn7Gn66703lb7vH+2b+bEc//ylUvVK3OdWAVezcX09uXyWqsSe+iXzgrs7yXksTbOGjNLe\nrQn6/NGXZE89olZ33FBMSUNHmt2uWV99oyGPDZTVqKHaXXm5evXopk8+m+nRd+738xUTE6NBAx5S\nbJ06GjxooMqULq3vvXz4Cd+5xmSOhgx6RFajBllj0lWffP6l1/6ffTlbPf/zkKpWqVLMSUPP0gXf\nKzomRvf0HaDa59bVfQ8/plKly2jZogVe+y+aO0fd739ITeJbqHaduur3xDPavmWT/v7zj2JOXrKt\nWbpAUdExuqHng6p+9rm6qc8ARceU1tqfF3ntH2Wz6eb/PKKzYxvq7NiGuqD99drJVRt+keZM1/9W\nbNSQW9rKOruaroqrr3vbna9Pl67x6Jt8+Jge6HiRrmvVWGdXrqAHOl6kQ8fsSvjnQACSl2xpDqdm\nLV2pId1ulHVuLbVr1US9rrtCnyxY7tE36VCqHrypna6/uLnOrlZJD97UToeOpinhr30BSA4gL74W\nOO+TlJK70bKssyzL2idJxpgjxpgjhQl3ptm6dasyMo6reXxcdlurli20foPnpzzrN2xQy5Yt3Npa\nNG+uteuYKBSFvQlGtRo2dWur1aCJ9u7YnOdztiybr4x0p867vGNRxws5ZuceZZw4oRZWvey21uc1\n0LptOz363tKujQb1uNWjPfVYWpFmDEWl6sRKERE6tu3f34tjZqNK1/e8lLbMeXE6/Psvbm07nntU\nR9auLPKcoabhlRfLLFim0W1ulcLyXk1e96KW2vGTe+F/x7KVqtfG+yVu8J3Zul0Zx4+reVyz7LaW\nLeK1fuMmj77rNm5Sy+bxbm0tmsdp7XrPuQF8Z7adHJN/X+tbNo/zOiaS9POKXzXyxWfV/e47iiti\nyNq6aYOaxLlvK9M4Ll5mo+ecNzMzU4OeG6bmrS/M0eb677EjJeptQ8Dt3rZZdc+Lc2ure14z7TLe\ntzW5+T8DVbex62/egX1/a/WP89UgroXXviiYrX/tV8aJE4qvWyu7rWXsWVq/23ONUIcWDdXnatfv\nhyM9Qx8uXqUqZUurXs3KxZY3VJg9/yjj+Ak1b3BudlvLRnW0fscej74dL4jTfTe2lSQ5nOmaNu8n\nVSlfVvXOYmuNoBYWzs3bLYjlew9Oy7Jul3R91t06kt60LCt3BaKupAz/RDvz7E9KUqWKFRUZ+e+P\nrUrlKnI6nUpJSVHFihXd+jao774ysEqVytq+I6HY8oaSY4cOqPLZdd3aSpWvqAN/7fLaP+1wipZ/\n8b46P/Gy9u00xZAwtOw/eEiVypVVZEREdluViuXlSE9XyuEjqli+bHZ77Nnuewpt2/2Xlq/boruv\nbVtccUNGZMXKOp56WDpxIrst41CKwmxRiihbTsePpGa322rU1LEdRmf16a/yrS+Wc/8/+uejd92K\no/CPpVM+zle/CrWq6a8NW93aDu9N0llNWVXrb0nJSapUsUKu1/vKcjidSkk5pIoVK/zbNylJDerX\nc3t+lcqVtSPB8wMd+C4pKTnvMTl0SBUrVHDrP+GVEZKk2XO+K9acoehAcpLq1Kvv1laxUmXtSfSc\n84aFhSm+9QVubV9/8YnKV6ykuvW5osafUg8mq+a5sW5t5SpU1j97Tv236dPXXtaqxfNUqXotXX3H\nPUUZMWTsP3xMlcqUUmTEv4WDKuVKy5l+XClH01SxjOc+pyu27VHfya4V6iO7X6tStqhiyxsqklIO\nq1K50u7vV8qXlSM9QylHjqli2dIez1mxaYceePV9SdKoB+5UqWhbseUFcHoFKc+e3OQoLI+bJG2U\ndLPf0p1h7Ha7omzuf8Sisl5snOnpufo6ZMv1QhQVZVN6Ovt0FIUMh0MRke4/74ioKB3P8L5fzbIZ\nb+u8yzuq8lnnen0chZPmcMoW5f75ycn7zoy8PwM5ePiIBo6erNbnNVS7CzlkyN/Co6OVmetv1Yms\n+2FRUbn6xqha5zuUkXJAiaOe09HNG1T36eGKrMTlnoFiK11KGbn2espwOBXJ5Nrv0uwO2aLcf662\nqJOv987T97VFefRD4aTZ7V5/zpLkZG+6gHI47IqKyj0/tik9H+OyYukSzZ7xsXo+0E8RkT6ffQov\nnA6HInKNS0RUlDLSTz0u7W7tqv6j3lKlatX1zrAnijJiyLA70xUVGeHWdvK+M+O41+c0rFVFnz7W\nVQ9d20bPTf9e63d52xEOhZHmTJctMo/3K+ne3680rF1DM4b2U79brtYzb3+h9Qmeqz0BBE6+ZxLG\nmP2SekuSZVmJksYYY44VTawzky3apnSn+xuWk5O3mJgYt/Zom81jwp2e7vToB9+snDNDq77JOhE1\nTKpRr7FHMfN4erqibJ4/790bVuqfHZt11b2PuBo4e8Dvom1RHhODk/dj8ijGJKUc1n0vTlCYwjT+\nifuLPGMoOuF0ehYys+6fyHXoQOaJ47In7tC+mdMlSfbdO1UuvpUqXd5O+7/6vHgCw0263eFRzIyM\ntsl5jMPr/C3aZvMoUJ78INPr633uvs50xUTzeu9Pef2cJSmGg7aK1Rcfva/PP5wqybUis1GTph4f\n4Kc7nYo+zZx3+dLFenXoM+p0+926+vrORRU3ZCyc+ZEWfvGR605YmM5tdJ6O5xqX4+npsp3mb1P1\n2nUkSd0fe1HD+tymhI1rVa8pHzoXRnRkpNJzFTJP3o+xeX87XrlsaVUuW1qNzqqmtYl/6/Of1ymu\nDiep+1N0VKTHwovs9yt5rJitXL6sKpcvK+ucWlq7fbc+W/Sr4uqVqGNHgKBWkEvUr5D0szEmQ9Ii\nSedblue+bZJkjPnRP/HOLDWqVdfBlBSdOHFC4eGuxa9JyUmKjo5W+XLl3PpWr15NyclJbm1Jycmq\nWrVqseUtyZpddYMaXHBF9v3V336mY4fcN98+dvigSleo5PHc7b8u0dEDSXrv4bslSSdOHNeJjAy9\n/dCtuvHRYR57eaLgalSuqIOpR9x/V1IOKdpmU/kynpd77E0+qF7Pj1d4eLimDn/M7RJ2+E/GwWTX\nKehhYdmbnkVWqKQTTqdOHDvq3jfloBx/uR/44Pj7T0VVqVZseeEu5c+9Kl/T/edfoWY1HfqbDe79\nrXq1ajqYcsjtb1hycnKer/dJye6vP0nJyapWldXO/lS9urcxOeB1TFC0rr3pdl3WrkP2/Zkff6CD\nB5Ld+qQcSFalKnnPeX9c8L0mjnhB1918u3r1G1hkWUNJm2tvUvNL22XfX/Tlx0o96P636XDKAZWr\n5LmX4/GMDG367Wc1anG+oku55mllK1ZS6XLldfTwoaINHgKqVyyjg0fTdOJEpsLDXRc+JqUeVXRU\npMqXci84b9y9V+HhYTqv9r97O9arWVk79x4s1syhoHqlCjqYesz9deXQEUXbolQ+17YBG3f+ofDw\ncJ1X56zstnpnV9dODhkCzigFuUR9saTKOb7O6+b9aL4SwLIaKTIyUuvW/7tp+qrVa9SsaROPvvFx\ncVqzbp1b25o1axUfF+fRFwUXXbqsKlSvlX2rUf88/bPdfW/Af7ZtUo36jT2e2+aOPrp7+BTdOfRN\n3Tn0TV14cw+VqVRFdw2dpOp12cvOHxrHnqOoiAit3frvPk8rN21XXIM6Hn3THE7d/9JrioyI0LTh\nj6lqxfLFGTWkpCUmSBnHVbrBv78XZRo3U9qOrR59j23bophce3dFn1Vbzv17izwnvNu5fLXqX9La\nra3+pa21c/nqACUquRo3aqioyEit2/DvYRwr16xVsyaerynxzZpqTa4DBNesW6/4ZnxY5k+NG+Yx\nJud5jgmKVtly5VTzrNrZN6tpnLZscJ/zbl6/TlaTZl6fv3blr5o44gXdeNtduu/hx4ojckgoVaac\nqtQ8K/tWx2qqxFwHCu3asl51Gnn+bQoLC9OM10Zq88p/T48+uH+vjqUeVvXabOdUWNZZ1RUZEa51\nu/7ObluV8JeanlvDo++sFRv02pxlbm2b9+xTbA3PRRsonMbn1lJURLjW5ThUaOXWRDWLPduj75c/\n/q6Jn89za9uU+KdiOWQoqGWGhXPzcgtm+U5vjAk3xuzL8XVet4jTfa9gFRMTo0433qBhI17Wxk2b\ntHDRYk378CN179pFkmt1hyPrMs8OV7dXauoRjX51rBISdmrUmFdlt9t1TYerA/lPKLHqn3+ZHMeO\n6qdPpujAX7u1dPpkZTgd2as8M9KdOnbI9clnqXIV3IqjpcpXUHh4hMpXq+mxVxF8ExNtU+e2F2vo\n5I+1YXui5q9Yo6mzf1CPG9tLcl2O7si6tHDK59/qj33JGvnwPTqRmamklMNKSjmsI5yi7neZ6U4d\nXLpAZ93XX6XqNVT589uo6g23KOm72ZKkyAoVsy9hPzD/W8WcG6vqt3aRrXpNVb+9u2zVayrlp4WB\n/CeEnHLVqyoy2nX57aovvlWpiuV1x7jnVLNxfd054QXZSpfSys++CXDKkicmJlqdrr9WL40ao42b\nNmvB4h817eNP1f3uuyRJSckHsl/vO7Zrq9TUI3pl3EQl7EzUqLETXK/3V7cP4L+g5HGNyTV66ZVX\ntXHzFi1Y8qOmTZ+RfUp6zjFB8bqkbXsdPZKqd14fpz2JO/X2xFflcNh1aTvXnNfpcCgla4Xn8ePH\n9fqoYWrWorVu6dJDKQeSs28Zp9ijGwUXd0lbpR09oq/ee0N79yRq9juvyelwqPmlV0mS0p0Opaa4\nVniGR0To4mtu0ncfva2dm9frjx1GH48dqqYXXaYa59QN4L+iZIixRarT+edp+OcLtXH3Xi1cv10f\nLlqp7le0lCQlpx6VI+vS6NvaxOm3bX9o+o9rtHt/iiZ994s27tmr7le0CuQ/oUSKsUWp06Ut9dIH\ns7Vx5x9asHKTps39Sd07XipJSjqUmv1+5fa2F+rXLQn6+IeftXtvst6cNV8bd/6hHh0vCeQ/AUAu\nYZmZ+duA0LKsfH98Z4zZ7UOWTMfR1NP3CjC73a4RL7+i+QsXqmzZsup1Tw91vdt1qXPz1hdo2NAX\n1PnGGyVJGzdt0kvDR2pnYqIaNWyo5595Wo0aBccKwegyrsu9Ji4LnlPf9+3cqiXTXtfBv/eoyjmx\nurLnw6p6jmsF2pZlP2jRexPU9905Hs/bsuwH/T57urqPfr+4IxfYI5fW0/FNiwMdI1/sDqde+u90\n/fDLapUrXUq9b+mo7je4Lp1qeuuDGjngHt10VRvd2P8FJf7tuSrwprZtNGLAmX96Z0STtpKk9V2u\nD2yQfAqLsums3v1U4cJLdTztqJK+/kLJ876WJDX7+Bv9MXmcUpa6ipilGzZWrXv7Kubsc+T4c4/+\n+mCKjm3dFMj4+Rb3ybd6MKxuoGMU2KSMHRp3VRdtX/qr6/7xBH1w7+Na8aHrJNVzW8ep25SRqtm4\nvv5ct0UfP/C0/ly/JZCR821yZqIkyXko6dQdzxB2u0PDR7+q+YsWq2yZsurVo6u63eUqpsVfdJmG\nP/+MOt9wnSRp46bNGjpqjBITd6lhg/p6/qknZTUMjhOhbRWqypkSHJfYucZkrOYvWuKag/Xoom53\n3i5Jir/4Cg1//ml1vv5at+fMnvOd3nrnfc2d9VkgIvvEVtG1ImjL3sMBTpJ/27Zs0luvvqw/dieq\nbv2Geujxp1S3vmvOu/C7b/T6K8M0a/EKmU0bNOShPm7PzczMVFhYmIZPeEtNW5y5RZzGNcrrq03B\nddDLnu1bNPOtsdr3527VqlNPt/V9XGfVdZ14//vCufrszVc0eqbr4ruM9HTNnf6OVi/5QU6HQ3Ft\nrtBNfQZkX7J+JurcxLUnpf3btwKc5PTszgyNmLlQC9ZuV9lSNt171fnqekULSVKLQRM0rEtHdbrA\ndVXg0k079dqcZdqdlKIGNato8K1tFV+nViDj51vM9X0lSc5fZgY4Sf7YnekaPm225v++UWVLx6jX\ndZerWwdX0TK+1zMaft9t6nyp6+/Sj2uNJn4xT3v2JqtB7Roa0q2T4usHx/6btja3Sf8eDI0sx3eu\n4jQOLyJiWwXt/ysFKXCekPfjWE7+47Mf83EVZ1AUOENFMBY4Q0EwFThDRbAVOENFsBY4S7JgK3CG\nimAqcIaKYCxwhoJgLHCWdMFU4AwVwVbgDBUUOL2jwOldMBc4C3KBfaykelm3AZK2SbpRUnVJFSW1\nl7RWUj8/ZwQAAAAAAAAAr/J9iroxZtfJry3LGiLpDmPMihxdFluWdb+kryVN9l9EAAAAAAAAAPAu\n3wXOXMrl8dwKkqJ8jwMAAAAAAAAUoSA/MRyefC1wfiTpQ8uynpXrsvQwSRdIeknSFD9lAwAAAAAA\nAIBT8rXA+aikVEnjJVXLatsr6Q1JI/2QCwAAAAAAAABOy6cCpzEmQ9LTkp62LKtqVhvHogIAAAAA\nAAAoVvkucFqW1VPSDGOMI+vr3I9nf22MmeafeAAAAAAAAACQt4Ks4BwqaY4kR9bXecmURIETAAAA\nAAAAZ56wsEAngJ/lu8BpjIn19jUAAAAAAAAABIqvhwzJsqzmkhpLis71UKYx5sNCpQIAAAAAAACA\nfPCpwGlZ1ihJT0raJykt18OZkihwAgAAAAAAAChyvq7gfEBSH2PM+/4MAwAAAAAAAAAFEe7j8w5J\n+s2fQQAAAAAAAACgoHxdwfmYpDcty3pe0i5JJ3I+aIzZXdhgAAAAAAAAgN+F+7reD2cqXwucpSS1\nlrRIrj03TwrLuh9RyFwAAAAAAAAAcFq+FjhHS/pv1i33IUMAAAAAAAAAUCx8LXDGSHrDGJPgzzAA\nAAAAAAAAUBC+bjrwqqSnLMuK8WcYAAAAAAAAACgIX1dwdpDURlJPy7L2SsrI+aAxpl5hgwEAAAAA\nAAD+lhnGIUMlja8FzqlZNwAAAAAAAAAIGJ8KnMaYD/wdBAAAAAAAAAAKyqcCp2VZiyRl5vW4Maad\nz4kAAAAAAAAAIJ98vUR9sZfvU0/SDZKGFyYQAAAAAAAAAOSXr5eoD/XWblnWvZJuk+uUdQAAAAAA\nAAAoUr6u4MzLEkmT/Pw9AQAAAAAAAP/gFPUSx9c9OM/10lxO0hOSEgsTCAAAAAAAAADyy9cVnIly\nHTIUlqt9j6Q+hQkEAAAAAAAAAPnla4EzNtf9TElOY8w/hcwDAAAAAAAAAPmW7wKnZVk75SpknqqP\nJMkYU69wsQAAAAAAAADg9AqygvPFXPfDJL0l6XlJ+/wVCAAAAAAAACgyHDJU4uS7wGmM+SB3m2VZ\nr0uaaYxJ8GsqAAAAAAAAAMgHStYAAAAAAAAAghYFTgAAAAAAAABBiwInAAAAAAAAgKBVkFPUe3pp\njpB0i2VZ+3M2GmOmFTYYAAAAAAAA4HccMlTiFOQU9aFe2vZK6p+rLVMSBU4AAAAAAAAARa4gp6jH\nFmUQAAAAAAAAACgo1uQCAAAAAAAACFoUOAEAAAAAAAAELQqcAAAAAAAAAIJWQQ4ZAgAAAAAAAIJa\nJqeolziMKAAAAAAAAICgRYETAAAAAAAAQNCiwAkAAAAAAAAgaFHgBAAAAAAAABC0OGQIAAAAAAAA\noYNDhkocRhQAAAAAAABA0KLACQAAAAAAACBoUeAEAAAAAAAAELQocAIAAAAAAAAIWhQ4AQAAAAAA\nAAQtTlEHAAAAAABA6AgLC3QC+BkrOAEAAAAAAAAELQqcAAAAAAAAAIIWBU4AAAAAAAAAQYsCJwAA\nAAAAAICgxSFDAAAAAAAACB1hrPcracIyMzMDneGkMyYIAAAAAABACcGR4bmk799NDcqLqGrnBu3/\nK5SsAQAAAAAAAAStM+oS9eN71gc6ArJEnBMnScr4Y2OAkyCnyNpNlWa3BzoGcigVEyNJchw+EOAk\nyCm6fGU5DyUFOgZysFWoKkl6MKxuQHPA3eTMRD0cERvoGMjhteM7JUnHE9cEOAlyiqjbQsd3rgp0\nDOQQEdtKkmRPSwtwEpwUU6qUJPF+5Qxz8v0KUNKxghMAAAAAAABA0KLACQAAAAAAACBonVGXqAMA\nAAAAAABFKZNT1EscRhQAAAAAAABA0KLACQAAAAAAACBoUeAEAAAAAAAAELQocAIAAAAAAAAIWhwy\nBAAAAAAAgNARznq/koYRBQAAAAAAABC0KHACAAAAAAAACFoUOAEAAAAAAAAELQqcAAAAAAAAAIIW\nBU4AAAAAAAAAQYtT1AEAAAAAABA6wljvV9IwogAAAAAAAACCFgVOAAAAAAAAAEGLAicAAAAAAACA\noEWBEwAAAAAAAEDQ4pAhAAAAAAAAhA4OGSpxGFEAAAAAAAAAQYsCJwAAAAAAAICgRYETAAAAAAAA\nQNCiwAkAAAAAAAAgaFHgBAAAAAAAABC0fDpF3bKsWpKelNRYUnTux40x7QqZCwAAAAAAAPA/TlEv\ncXwqcEqaIamWpJmS0vwXBwAAAAAAAADyz9cCZ2tJbYwx6/wZBgAAAAAAAAAKwtc1ucslNfBnEAAA\nAAAAAAAoKF9XcPaRtMyyrM6SEiWdyPmgMealQuYCAAAAAAAAgNPytcA5QlJVuQ4ZqpPrsUxJFDgB\nAAAAAABwxsnkkKESx9cC582SOhpjlvgzDAAAAAAAAAAUhK8l612SjvozCAAAAAAAAAAUlK8rOJ+X\n9IFlWeMk7ZSUkfNBY8yPhQ0GAAAAAAAAAKfja4Hzs6z/vu3lsUxJET5+XwAAAAAAAADIN58KnMYY\ndmMFAAAAAABA8OGQoRLH1xWcsiwrUlIN/btaM0xStKSWxpgZfsgGAAAAAAAAAKfkU4HTsqyb5Lo8\nvYqXh/+WRIETAAAAAAAAQJHzdU3uKEmzJDWRdFDSJZI6SUqU9KxfkgEAAAAAAADAafha4KwnabQx\nxkhaKammMeZbSQ9Jesxf4QAAAAAAAADgVHwtcKZIKp319RZJLXJ8HVvYUAAAAAAAAACQH74eMjRH\n0iTLsh6QtFjSGMuyvpZ0u6S//JQNAAAAAAAA8K+wsEAngJ/5WuB8RNJESedL+lDSbZJ+k3REUnf/\nRAMAAAAAAACAU/OpwGmMSZXUO0dTd8uy+kqyG2PS/ZIMAAAAAAAAAE6jQAVOy7JKS+omqY2kqpJs\nkg7LdXr6QmPMXH8HBAAAAAAAAIC85PuQIcuyGknaKmmgXAcMVZHUTtIhSXUkTbMs6zfLsmoURVAA\nAAAAAAAAyK0gKzjfkPSxMWbwyQbLsu6R1M0Y09GyrFKSpkt6U67DhgAAAAAAAIAzS1i+1/shSBRk\nRNtIeidX20eSrrIsq6oxJk3Sk5Ku9lc4AAAAAAAAADiVghQ4d0jqmqvtWknH5bpMXZKaSTrgh1wA\nAAAAAAAAcFoFuUT9SUnfWJbVVtIKSWdLukPSUGNMumVZ4yU9IKmv31MCAAAAAAAAgBf5XsFpjPle\nUktJGyTFSUqXdJMx5uWsLiskXWaM+cDvKQEAAAAAAADAi4Ks4JQxZqOkAXk89qlfEgEAAAAAAABA\nPhWowJmTZVndJD0qqYGkVpIelvSPMWaUn7IBAAAAAAAAfpXJKeoljk8jallWX/NNfpgAACAASURB\nVEljJE2VZMtq/l3SE5ZlveCfaAAAAAAAAABwar6WrB+W9B9jzBtynaIuY8xHknpIus9P2QAAAAAA\nAADglHwtcNaRtNlL+w5JVXyPAwAAAAAAAAD552uBc7mknjnuZ1qWFSbpcUm/FjrVGczpTNezr07S\nxTffo7Z33a+pX3ydZ98ly1fq1gce1/mduuuWBx7Xol9+L8akocXpTNdzY95Um5t66Ko779PUz786\n7XNWrt+sa7v3LYZ0oW3L5s3q0b27Lr7oInXv1k2bN3v7bORfH330kTp26KDLLr1UQ198UQ6Ho5iS\nhgan06kXho3Qpe066urrO2nax5/k2XezMerW6z5dePlV6npvH23aYooxaehwOp16ftjLuqT9tWp/\nw0364OO8z+zbbLaqW+//6MIr2qtrr/8wJsUg0mbTc+vmqsHlF+bZ55wWTfXkL7M08cgmDV7+P53T\nsmkxJgw9kTabhqz5TvVPMSa1WzTRoGVfaszhjRr08yzVZkyKjNOZrmfHTdbFt/VW264PaurMb/Ls\nu2TFKt360GCdf/M9uqXvk1q0fGUxJg0drjGZootvv09tuz2kqTPn5Nl3yYpVurXfEJ1/Sy/d8tAQ\nxqSIOJ1OvfDii7rs8st1dYcOmvbhh3n23bxli7r36KGLLr5Y3bp3P+3cGYXDexWgcCzLirYs613L\nsg5alvWnZVmDTtG3pWVZyy3LOmpZ1grLslr5M0thLlHvbVnWb5JiJE2StF3SjZIG+inbGWn0lGna\ntC1BU8cO1XMP36dJ0z7XD0uXe/QzCYl6ZOiruv369po1ZazuvP5qDXzpVW1N2BWA1CXfmClTtWl7\ngt4f95Kee+R+vfXhZ17H5aStCbs06KUxyizGjKEoLS1NAwYMUOvWrfXpjBmKb95cA/r3l91u99p/\n/vz5+u+UKXr+hRf037ff1rp16zRh/PhiTl2yjZ34ujZvMXpv8pt6ZvATmvz2u5q/cLFHvzS7Xf0H\nPq7zW7XUjA+nqnlcM/Uf+FieYwffvTrxDW02Ru+/9bqeefJxTX7nPc1ftNijX5rdrn6PPq7WLVtq\nxofvqXlcU/V79AnZ7Uysi0qkzaY+n7ymWk0a5tknqlSM+s15T9uWrNDIVjcq4ZdV6j/nfUXFRBdj\n0tARabPpnukTVfM0Y/LA1+9p+48rNOb8TkpcvkoPfP0eY1JERr/9oTZt36mpo5/Xc/37aNJHX+iH\nn1Z49DMJu/TIsHG6/dp2mvXWaN15fXsNHD5OW3fuDkDqkm30Ox9p046dmjr6OT3Xv7cmfTxTP/zk\nuQbFJOzSI8Mn6PZr2mnWpFG687p2GjhiAmNSBMaOG6fNmzfr3Xfe0TNPP60pU6Zo/oIFHv1yzp1n\nfPqpmsfHq/+AAcy/igjvVUJcWDg3b7eCe1Wug8fbSnpI0guWZd2au5NlWaUlzZG0JKv/L5LmWJZV\nytchzM2n9MaYDZIaSXpL0gRJW+Q6dKihMWaNv8KdadLsDn05d4Ge7t9bjevXVftLL1Tvu27S9Nlz\nPfrOWbhMF7eMU9ebrtM5Z9VQl5uu1UXNm2nukp8DkLxkS7M79OV3C/R0vz5qXD9W7S69UL3vulnT\n//et1/6ffT1P3R95WlUrVyrmpKFn3ty5iomJ0cBHH1XdunX15JNPqnTp0vrhhx+89v9k+nR1795d\nl112mZo0aaJnn3tOs2bN4pNRP0mz2zVr9tca/PggWY0a6qorr9C9Pbvrk8+/8Og79/sfFBMTrUcH\n9FNs3Toa/NijKlOmtL5fsDAAyUuuNLtds776RkMeGyirUUO1u/Jy9erRTZ98NtOj79zv5ysmJkaD\nBjyk2Dp1NHjQQJUpzZgUlZqN6+vJ5bNUJfacU/a74O5Och5L06who7R3a4I+f/Ql2VOPqNUdNxRT\n0tBRo3F9Dfr5S1Wpe+oxaZ01Jl899Yr2bU3Ql4OGyZF6VC0YE79Lszv05bxFerrvva658SUXqPcd\nnTX9q3kefecsXqaLWzZT187X6JxaNdSl0zW6KL6p5v74SwCSl1yuMVnsGpN6ddS+zfnqfUcnTf/a\n25j8rItbNFXXzh2zxqSjLopvork/5r1IAAWXlpam//3vfxoyeLAsy9JVV12le++5R59+6nnFxtx5\n8xQTE6NHBw7M19wZhcN7FaBwsoqWfSQ9bIxZa4yZLWm0pP5eut8t6ZgxZrBxGSgpVdId/srj6ynq\nK+UqZr5njHnCGPOoMWayMeaIv4KdiUxCojKOn1CLJlZ2W+tmjbVuyzaPvrdc01aD7uvm0Z569FiR\nZgxFZodrXJo3/XdcWjU7T+u9jIskLft9jUYNeUQ9br2xuCKGrPXr16tFy5ZubS1atNC6tWs9+p44\ncUIbN25Uy1b/rlKPj49XRkaGthouw/WHrVu3KeP4cTWPa5bd1qp5vNZv2OjRd/2GjWrZvLlbW4v4\neK1dv6HIc4YSs3W7x5i0bBGv9Rs3efRdt3GTWjaPd2tr0TyOMSkiDa+8WGbBMo1uc6sUFpZnv7oX\ntdSOn9y3oNmxbKXqtfHrFTeQ1ODKi2QW/qxxl556TOpc2EIJy9zHJOHn3xV7ccs8ngFfmYRdyjh+\nXC2aNMpuc82Nt3v0vaVDWw3q3dWjnbmxf2WPyXn/rnJu3dTSui07PPre0uFKDerdxaOdMfGvrVu3\nKiMjQ/Hx/76Gt2zZUuvXr/fou379erVs0cKtrUWLFlq7bl2R5wxFvFcBCq25pEi5VmOe9JOki7z0\nvSjrsZyWSWrjrzC+XqJeS1mnp4eS/ckHValCOUVGRGS3ValUUQ5nulIOpbr1jT3nbDWqVyf7/rbE\nPVq+er3atHJ/c4rC23/A27hU8DoukjRx6GC1uzTvfbvgP0lJSapWrZpbW5UqVbR3716PvqmpqXI4\nHKqeo39ERIQqVKigvfv2FXnWULA/KVmVKlZUZGRkdluVKpXldDqVknLIo2+1alXd2qpUrqy9exkL\nf0pKTlKlihXcx6RyZTm8jElSUpKqexuTffuLJWuoWTrlY818YqQyTrMqo0Ktakr5y/1v2uG9SapU\nu2ZRxgtJy6ZM1+wnRyrD4Txlv/K1qutQrjFJ3ZukirVrFWW8kLT/wEFVKl/efQ5WsYIc6U6lHM49\nNz5LjWLPzb6/LXGPlq/ZoDYt44otbyjYfyBFlcp7mRfne0w2qk3LZoL/7E9KUqVKlXLNv6pkzb9S\n3PoWZO6MwuO9ClBotSQlGWMycrTtlRRjWVbuA8hrSforV9teSbX9FSby9F28miZprmVZH0lKlOS2\nSYUxZlohc52R0hxO2aKi3NpsUa4foTM9Pc/nHTx0WAOHjlHruPPU7pILijRjKLLbHV7GxXX/VOOC\nome322Wz2dzaomw2OZ2eb07tdrvCwsIUlau/LY/+KDi73a4om/vvSlSU6+ftTHd69PUcuyil8zvl\nV2l2h2xRuf6fz/775Tx9X1uURz8UL1vpUh4FtwyHU5HRtjyegaJmKxXDmBQT19zY/e2EzXb6OdjB\nQ4c1cNg4tW7WWO3anF+kGUNNmsO3efHBQ4c1cPgEtW5mMSZ+ZrfbFZVrTE7Od3PPcb3Nv2xRUcyF\niwjvVYBCKy0p92qAk/dzb36eV1+/bZLua4HzLrlWcHpe0yBlylUALXGibVEeEwNnuqtQHZPHxvVJ\nB1N035MvKSwsTOOfe6zIM4Yim9dxcd3Pa1xQNN599129+847kqSwsDA1i4vzeMFPdzoVU8pzH2Gb\nzabMzEyl5+rvdDoVExNTdKFDiC3apnSn++9KelZxLPfPODrac7KW7kxnLPws2mbzKFD++/cr5vR9\nnemKiWZMAind7vAonEVG2+Q8xoEQgZLuyGtM0gKUqORyzY0z3NqcWa8zMdGnmBs/NUJhYdL4Zx8t\n8oyhxvVakce8+JRjMtI1Js+U6PNiAyLaZvP4gPjkfDf3a723YpkzPV2lmH/5Be9VAL+zy7NAefJ+\n7v1O8urrt31RfCpwGmNi/RUgmNSoWlkHD6XqxIkTCg93Xd2fdOCgom02lS9bxqP/3qRk9Xp8qMLD\nwzV17FBVrFCuuCOHhBpVq3gZl5Q8xwVF54477tA111yTff+9995TclKSW5+k5GRVq1o191NVsWJF\nRUdHKyk5WXXq1pUkHT9+XIcOHfLaHwVXo1o1HUxJcf9dST6g6OholS/n/veperVqSk5OdmtLSk5W\n1aq5rzRAYVSvVk0HUw65jUlycrL3MaleTUnJB9zaXL9PjEkgpfy5V+Vrul/eVqFmNR36m8vVAuWQ\nlzEpX7OaDjMmflejSmUdPHzY/XXlYN5zsL1JB9Rr8EuuufGYF1SxPHNjf6tRpZIOHs49Lz50mjEZ\nrvCIcE0d/RxjUgSqV6+ugwcPuo9JUpLrtb58eY++SbnmX8lJSaqa6zJq+Ib3Ksgp8xT7eSPf/pRU\n1bKscGPMiay2mpLSjDEpXvrm3sOppqS//RXG10OGrjjVzV/hzjSN69dVVGSE1m7emt22csNmxVn1\nPfqm2R26f8gIRUZGaNq4oapaqWJxRg0pjRt4GZf1m9TMahDAVKGpfPnyql27dvYtPj5ea3Nt0r1m\nzRrFxXvuRRsWFqamTZtq9erV2W1r165VZGSkGlmWR38UnNWooSIjI7Uux6E0q1avUbMm53n0jW/W\nTGvWuW9+v2bdOsU3a1rkOUNJ40YNFRUZqXU5DnpauWatmjVp7NE3vllTL2OynjEJsJ3LV6v+Ja3d\n2upf2lo7l6/O4xkoaokrViu2jfuYxF7SWokrGBN/a1y/rqIiIrV2878HO67csEVxjfKYGz8zUpER\nEZo25kXmxkUke0xyHPR0yjF5dpTr/cro5xmTImJZlmv+leOgoFWrV6tpU8/X7/i4OK9z5/g49qr1\nB96rAH63RlK6pItztF0u6TcvfZdLuiRX26VZ7X7h6yFDi/O4zZM0tZCZzlgx0dHqfPWVGjrhv9pg\ntmv+sl819fOv1ePWGyS5PrF2ZC1ZnzJ9pv74Z59GPtFPJzIzlXQwRUkHU3SEUwn9LiY6Wp07tNVL\n46dog9muBT+t0Aeff6Wet7lOSU868O+4oHh16NBBqampGjNmjBISEvTKK6/Inpamjh07SpIcDofb\nKsE777xTH0ydqkWLFmnDhg0aOWKEbrv9dkXncUkVCiYmJkadbrhOw0aN1sZNm7Vw8RJN+/gTde9y\nlyQpOfmAHFkHqnRof5VSU49o9LgJStiZqFGvjpfdbtc1V7cP5D+hxImJiVan66/VS6PGaOOmzVqw\n+EdN+/hTdb/bNSZJOcakY7u2Sk09olfGTXSNydgJjEmAlKteVZFZf5dWffGtSlUsrzvGPaeajevr\nzgkvyFa6lFZ+9k2AU4YW15i4Lktf88V3KlWxvG4Z+6xqNK6vW8c/L1vpUlr92ZwApyx5YqJt6nz1\nFRr6+jvasHWH5v/8m6bO/EY9brleUq658SezXHPjxx/SicwTzI2LiGtMLtfQ13KMyZdz1OOW6yTl\nGpNP/+cak8ceZEyKUExMjDp16qThI0Zo48aNWrhwoT6cNk3du3WT5LpyI3v+5WXunGa3Z8+d4V+8\nVwEKxxiTJtcWlZMtyzrfsqybJT0maYIkWZZVw7Ksk3s4fCGpomVZ4y3LOs+yrIly7cv5mb/y+FTg\nNMaE57xJipLUWNJSSUP9Fe5MNLjvPWrSqL56PTFUI994VwPuvVvts07kvvLO/2ju4p8lSfN/WiGH\n06m7Bzyttnfdn317edL7gYxfYj3Z9141aVRPvR9/QSPfeEcDenXJPim97Z19NHfxsgAnDE1lypTR\na6+/rlUrV6prly7auGGD3pw0KXufmnnz5qnD1Vdn97/m2mvVu08fDR82TA/17av45s01cCB7QfnT\nEwMfVpPGjXXfQ/318phx6vfg/brqStfC+3bX3ah58xdIco3dG+Nf1crVa3R3z17asGmTJk0czx5D\nRcA1Jpb69HtYL786Xv0euE/trrxcktTu+s6aN3+hJNeYvDlutFauWau77+mj9Rs3adKEsew1XBwy\nM93uvvL3r2p9p+vDTceRo3rzxt5qcMWFeur3r1X3wuZ6/bp7lW4/9enrKKRcYzLszxVqeafrg03H\nkaOa0rmPGlx+oR7/9SvVuaC5Jt/QizEpIoMf6KkmDWLVa/AwjXzzfQ245061zzpU88ouD2rukl8k\nSfOXZc2NH3lGbbs+mH37P3v3HR5Vlf9x/B0SkoACoVpWFxDk0ovYdVek2LF3UQF7QRQbaxdF7F3s\niF3XXbu7NsDeftLrRaWoa00IRc0kIcnvjwAmmQTIMCmTvF/PM487Z85lP+QwmXO/c+494x54vCbj\n10mXnn4iXbffjmGjx3LD+ImMOOkoBqzZOGiv48/mzQ+KF8u8+/EXxWNy/pX0O+HsdY9xD9bJ7RRq\n1EUXXkiXLl047fTTufGmmzj7nHPYe++9ARgwcCBvv/02UPxZf8/ddzN12jSOO/545sydy/j77nP+\nVUU8V5HiYhQwFZgM3ANcGYbhK2te+xE4GiAMw1XAQcDfgS+BnYH91xRJ4yKpqMwEcVMEQdAd+E8Y\nhn+N4fCigu9mb7iXqkXytsWXQaz+fu4Geqo6pWzTjZyIG1fUJmtv+p67ctkGeqo6pTVtQd6KzA13\nVLVJbVZ8f6ozk9rVaA6V9kDREs5Lrpe3Vq+17i5YDEDBkhk1nEQlJbfrTcHiaTUdQyUkt98BgEiO\nG4jVFms35/F8pXZZc77iDSfLyIlE4lcMq0Mapacn7L+VWHdRr0gbwJu3SJIkSZIkqVaK41o/1RIx\nFTiDIJhQTnMTYBDwwiYlkiRJkiRJkqSNFOsKzrJLVouALIpvJvrkJiWSJEmSJEmSpI0UU4EzDMNh\n8Q4iSZIkSZIkSZUV6yXqmwNXAI8BXwETgSOAacCQMAyXxiugJEmSJEmSJFWkQYzH3Q8cQPGl6cdT\nXNwcDvwEjI9PNEmSJEmSJElav1jvwXkg0C8Mw4VBENwMvBaG4fNBEEwDpscvniRJkiRJkhQ/hW6j\nXufEuoIzCcgLgqARMBB4Y017C+C3eASTJEmSJEmSpA2JdQXnZOBhiouZBcArQRD0B+4FXo1TNkmS\nJEmSJElar1hXcA6neEOhXODQMAxXAj2B/wAj45RNkiRJkiRJktYrphWcYRiuILqQ+TSQGYahNzKQ\nJEmSJEmSVC1iKnAGQbA1cDtwI7AAeAvYE/guCIJDwjCcGb+IkiRJkiRJUny4Mq/uifUS9fuB1kAW\nMBToAewOvAbcE5dkkiRJkiRJkrQBsRY4+wNnhWH4HXAY8EoYhp9TvKpzx3iFkyRJkiRJkqT1ibXA\nGQEaBUHQHOgHvL6mvT2wLA65JEmSJEmSJGmDYroHJ/Ay8DyQA2QDbwRBcDRwFzAxPtEkSZIkSZIk\naf1iLXCeBYwA2gIPhWEYCYIgDRgL3BevcJIkSZIkSVI8FbrLUJ0TU4EzDMPVwB0AQRA0D4KgAfBU\nGIb+E5EkSZIkSZJUbWIqcAZBkARcBlwAZACdgDFBEPwGjAzDMDd+ESVJkiRJkiSpfLFuMnQlMAQY\nCqwtZj4O7APcsumxJEmSJEmSJGnDYi1wDgXOCMPwdaAQIAzDd4CTgaPjE02SJEmSJEmS1i/WAucW\nwA/ltGcDm8ceR5IkSZIkSZI2Xqy7qE8CLgbOWPO8KAiCJsANwJR4BJMkSZIkSZLirajIPbLrmlhX\ncJ4N9AmC4CegEfAq8D3QDhgRn2iSJEmSJEmStH6xruDMDsNw5yAI+gNd1vw5IfB2GIaFcUsnSZIk\nSZIkSesRa4FzbhAEh4VhOBmYHM9AkiRJkiRJkrSxYr1EvQBIjWcQSZIkSZIkSaqsWFdwvgG8EwTB\n68ASIFLyxTAMx2xiLkmSJEmSJCnuCt1jqM6JtcDZA5gKbLXmUVIRYIFTkiRJkiRJUpWrVIEzCIIh\nwOHAz8ArYRg+WyWpJEmSJEmSJGkjbPQ9OIMgGAk8BjQCNgMeC4LghqoKJkmSJEmSJEkbUplNhs4E\nTgnDcP8wDAcDxwPnBEGQVDXRJEmSJEmSJGn9KlPg7ABMKvH8VYpXcpa9B6ckSZIkSZIkVYvKFDhT\ngPy1T8IwXA3kAOnxDiVJkiRJkiRVhSIf5T4SWWUKnJIkSZIkSZJUq1RqF3Xg6CAIVpZ4ngwcFgTB\nryU7hWH4xCYnkyRJkiRJkqQNqEyB81vgwjJtPwPnlmkrAixwSpIkSZIkSapyG13gDMOwXRXmkCRJ\nkiRJkqRKq+wl6pIkSZIkSVLCKkz0HXUUxU2GJEmSJEmSJCUsC5ySJEmSJEmSEpYFTkmSJEmSJEkJ\nywKnJEmSJEmSpIRlgVOSJEmSJElSwnIXdUmSJEmSJNUbRUVuo17XuIJTkiRJkiRJUsKywClJkiRJ\nkiQpYVnglCRJkiRJkpSwLHBKkiRJkiRJSlhuMiRJkiRJkqR6o7CmAyjuXMEpSZIkSZIkKWFZ4JQk\nSZIkSZKUsCxwSpIkSZIkSUpYFjglSZIkSZIkJSwLnJIkSZIkSZISlruoS5IkSZIkqd4oKqrpBIo3\nV3BKkiRJkiRJSlhJRbWnbF1rgkiSJEmSJNURSTUdoLb5cfnv1qDKsVXGZgn7b6VWXaJe8N3smo6g\nNZK37QHA6u/n1nASlZSyTTdyIpGajqESGqWnA5C7ankNJ1FJaU0yyFv+S03HUAmpGW0AOC+5fQ0n\nUUl3FyzmzKR2NR1DJTxQtASAgqUzazaISklu24vCRV/WdAyV0GC7HQGI5OTUcBKtld6oEYDnK7XM\n2vMVqa7zEnVJkiRJkiRJCatWreCUJEmSJEmSqlKhF6jXOa7glCRJkiRJkpSwLHBKkiRJkiRJSlgW\nOCVJkiRJkiQlLAuckiRJkiRJkhKWmwxJkiRJkiSp3igqcpehusYVnJIkSZIkSZISlgVOSZIkSZIk\nSQnLAqckSZIkSZKkhGWBU5IkSZIkSVLCssApSZIkSZIkKWG5i7okSZIkSZLqjcKaDqC4cwWnJEmS\nJEmSpIRlgVOSJEmSJElSwrLAKUmSJEmSJClhWeCUJEmSJEmSlLDcZEiSJEmSJEn1RlFRTSdQvLmC\nU5IkSZIkSVLCssApSZIkSZIkKWFZ4JQkSZIkSZKUsCxwSpIkSZIkSUpYFjglSZIkSZIkJSx3UZck\nSZIkSVK9Ueg26nWOKzglSZIkSZIkJayYVnAGQbAZcCrQGUgr+3oYhsM3MZckSZIkSZIkbVCsl6g/\nB+wGvAvkxC+OJEmSJEmSJG28WAucewODwjD8NJ5hJEmSJEmSJKkyYi1wzgcaxTOIJEmSJEmSVNXc\nYqjuibXAORR4MQiCZ4ClQGHJF8MwfGITc0mSJEmSJEnSBsVa4DwN2B44i+h7cBYBFjglSZIkSZIk\nVblYC5ynAMeFYfh8PMNIkiRJkiRJUmU0iPG4TGBuPINIkiRJkiRJUmXFuoLzHOC+IAjGAIuB1SVf\nDMPw200NJkmSJEmSJEkbEmuB8/U1/32nRFsRkLTmv8mbEkqSJEmSJEmqCoVuo17nxFrgbB/XFJIk\nSZIkSZIUg5juwRmG4VLgB6AbcCRwONAB+G7Na5IkSZIkSZJU5WJawRkEQQD8B2gNLKT4kvSOwOIg\nCA4Iw/D7+EWUJEmSJEmSpPLFuov6Q8AXwNZhGO4YhmEfYBuKi50PxiucJEmSJEmSJK1PrPfg3BHY\nIQzD39Y2hGG4IgiCK4H/i0sySZIkSZIkKc6K3GSozol1Bec0YJ9y2ncEZsQeR5IkSZIkSZI2Xqwr\nON8BbgqCoB/wMZAP9AaOB54OguCqtR3DMByzqSElSZIkSZIkqTyxFjj3Bj4HWgCDS7R/RvFu6h3W\nPC8CLHBKkiRJkiRJqhIxFTjDMNw73kEkSZIkSZIkqbIqVeAMgqAx0BWYF4bhH0EQ7AycCbQC5gF3\nhmH4U/xjSpIkSZIkSVK0jd5kKAiCnYBvgS+Ab4IgOAb4AGgNzKd4g6EwCIJdqiKoJEmSJEmStKkK\nKfJRziORVWYF5x3AYxTfU3MU8DRwVRiGN6ztEATBtcDdgEVOSZIkSZIkSVVuo1dwAjsA94VhuAq4\naU3b62X6PAl0j0cwSZIkSZIkSdqQyhQ4vwN2AwjDMALsA/xYps/+wNfxiSZJkiRJkiRJ61eZS9TH\nABOCIGgXhuG4MAwnr30hCII+wDhgb+CwOGeUJEmSJEmSpHJtdIEzDMOngyBYCmxZzsvJwGLgH2EY\nTo9XOEmSJEmSJCmeihJ7Px2VozIrOAnD8KMK2r8EvoxLIkmSJEmSJEnaSJUqcJYUBMEJwAVAR4o3\nIDoP+CkMwxvjlE2SJEmSJEmS1qsymwytEwTBWcAtwEQgdU3zl8DFQRBcHZ9okiRJkiRJkrR+MRU4\nKV6teVoYhvcCBQBhGD4FnAicGqdskiRJkiRJkrResRY42wLzy2n/BmgZe5zaLy8vnytuHc+uh55M\nv2NOZ+K/Xquw7/ufTeXwMy5ix8FDOOyMi5jyqbcprSp5eflcect97HbIiex99KlMfOHVDR4zdfZ8\n9htyVjWkq98WzJ/PiUOGsOsuuzDkhBOYP7+8Xx1/euqpp9hn0CD23GMPrr3mGnJzc6spaf2Ql5fH\n1WOuZ4+9BzJw/4N44qlnKuw7f0HICUOHs/Oee3H8ycOZt2BBNSatP/Ly8rjq+hvZfeD+DDjoMB5/\n5rkNHjNtxiz2P/yYakinlNRURs/4Lx3+tnOFfbbp3ZVRH7/ILSvnMuqTl9imT7dqTFj/pKSmcuWs\nN+m4njHZtnc3Lvn0Je76bR6XfvYy2zomVSYvL58rbrufXQ8fRr/jzmDiv16vsO/7n0/j8LMuYcdD\nTuKwMy92blxF8vLyufyOh9jlqNPYa8i5THzxPxX2fe+L6Rx+zmX0PfwUDjvnH0z5bFo1Jq0/8vLy\nuPqaa9jzb39j4KBBPPHkkxX2nb9gAUNOPJFddt2VE4YM2eDcWZvGcxWpwLINYgAAIABJREFU7oi1\nwPkZcFKJ50VBECQBFwFfbHKqWuzmB59g3leLmHjbtVx53qmMf+IF3vnws6h+4aIljLz2Vo48YAAv\nPXgbRx8wkPPH3MrCRUtrIHXdd8uDE5n39SIeu30MV448nfuf/Ge547LWwkVLGTXmFtw4rWrl5OQw\nYsQI+vbty3PPP0/PXr0Yce65RCKRcvu/++67PPTgg1x19dU89PDDzJo1izvvuKOaU9dtt915N/MX\nhEx4cDyXX3oxDzz8CO9OnhLVLycS4dzzR7HjDjvw/FNP0Ktnd84dOarCsVPsbr37PuaHC3ls/D1c\nfvEoHnhkIu9Oeb/C/gu//oYLL7uSIrd+rHIpqamc/MxdbNl1+wr7NGyUzhmvTeDrDz7nlh0Hs+Sz\naZzx2gQapqdVY9L6IyU1lVOevZutNjAm57wxga/e/5wbdjiIRZ9O49w3HnNMqsjNDz/JvK8XM/GW\nq7lyxKmMf+oF3vno86h+4aKljBxzG0fu35+XHrileG58/e0sXPxtDaSu225+5Bnmf72Ex2+6gqvO\nGcp9T7/I2x//X1S/cPG3jLz+Lo7Yrx8v3zeOo/bvz8ixdzkmVeC2229n/vz5PPrII1x+2WU8+OCD\nvDtpUlS/knPn5597jl49e3LuiBHOv6qI5yr1W2GRj/IeiWxTLlEfHgTB/wHpwHjga+Ag4Pw4Zat1\nciK5vPjmJC47dzidO7RjwB47M/yYQ3jmlTej+r4x+WN27dOD4w/Zn2233oLjDtmPXXp15833P6mB\n5HVbTiSXF/87icvOOYXOHdrTf4+dGX7MoTzzcvnfVv/ztbcYMvIyWrVoXs1J65+33nyT9PR0zr/g\nAtq1a8cll1xC48aNeeedd8rt/+wzzzBkyBD23HNPunbtyhVXXslLL73kN6NxkhOJ8NIrr3LpxaMI\nOnVi7357MfSkE3n2ny9E9X3zrbdJT0/ngvPOpX27tlx64Sg226wxb787uQaS1105kQgvvfoGo0eN\nJOjUkf57/Y1hJx7Psy+8WG7/f774CieddjatWtbpiyVqhS06d2DUJy/Sst226+3X99jB5P2Rw6v/\nuIlfFi7ixVHXkbvqd3ofdWA1Ja0/tuzcgUs+e4mW7dc/JjutGZOXRt/IzwsX8cIFY4is+o0dHJO4\nK54bT+ays4cVz41334nhR1cwN57yMbv26c7xB+/HtlttwXEH78suvbo5N46znEgu/377PS476yQ6\nb9eWAbvtyClHHsQzr70d1feN9z5h197dOGHwPmy7VRuOP2gQu/Tqyn8/jC5QK3Y5OTm8/PLLjL70\nUoIgYO+992boySfz3HPRV2y8+dZbxfOv88/fqLmzNo3nKlLdElOBMwzDOUAn4H7gTmABxZsObR+G\n4Yz4xatdwkVLWF1QSO+uwbq2vt07M2vBV1F9D9u3H6NOPSGqfdXvf1Rpxvoo/KZ4XHp1+3Ncduje\nhdnljAvAx1/O4MbRIznx8IOqK2K9NXv2bHr36VOqrXfv3syaOTOqb2FhIXPnzqXPDjusa+vZsyer\nV69mYRhWedb6YOHCr1hdUECvHj3Wte3Quxez58yN6jt7zlz69O5Vqq13r57MnD27ynPWJ+FXX68Z\nkz8vn+3Tqwez584rt/8nn3/BDddcwZBjj6quiPVWx712IZz8CbfvcTgkJVXYr+3OvVn0cenLbBd9\n8iXtd+1TwRGK1fZ77Uo46WNu3m39Y9Julz5881HpMfnm46lst9sOFRyhWIWLlrK6oIDeXTutayue\nG38d1fewffox6hTnxlVtweJvKSgooHeXP1c579AtYNaCb6L6Hjbo71w4LPp2J785JnG1cOFCVq9e\nTc+ePde19enTh9nlzKlmz55Nn969S7X17t2bmbNmVXnO+shzFaluSYnloCAIpgJDwzCcEOc8tdqv\nWdk0b9aElOTkdW0tm2eQm5fP8hWryGjWZF17+23/UurYr5Z8x2fTZ3PswftWW9764tdl5Y1Ls3LH\nBeCuay8F4OW3oi/LVXxlZmbSoWPHUm0tW7bkm2+iJ9mrVq0iNzeXNq1br2tLTk6mWbNm/PzLL/SI\nOkKV9WtmJs0zMkhJ+fNXf8uWLcjLy2P58hVkZDQr0TeLjh23K3V8yxYt+XrRomrLWx9kZmbRPKNZ\n6TFp0YLcvDyWr1hBRrNmpfrfedNYAF5547/VmrM++vjBiu9PW1LTrdrw45zSJzarfs5kq26dKjhC\nsfrwwac3ql+zrVrzw5yFpdpW/pzJ1t0qvqxdsfl1WTbNmzYtPQfLaEZufh7LV64io2nJufHWpY4t\nnhvP4djBzo3j6ddly8loWnpe3Kp58Zhkr1xF85Jjsk2ZMVn6PZ/NmMtxBw2strz1wa+ZmTRv3rzM\n/KvlmvnXcjIyMta1Z2Zm0rFDh1LHVzR31qbzXEWqW2K9RH0r1uyeXp/k5OaR2rBhqbbUhsUfVHn5\n+RUel71iJedfewt9e3Sh/+47VWnG+igSyS1nXIqfr29cVPUikQipqaml2hqmppKXl1du36SkJBqW\n6Z9aQX9VXiQSoWFq6fdKw4bFP++8/NI/40huhNSGZceuIfmORVzlRKJ/zqlrxigvz99fiSC1UTqr\nc0u/L1bn5pGSllrBEapqqY0bOSbVJCeSu24uvNbGzMGyV6zk/DG30bd7Z/rvtmOVZqxvIrnlzYuL\nxyg/f3WFx2WvWMXI6++kb/eA/rv2rdKM9U0kEqFhmTFZO98tO8ctb+6c2rChc+Eq4rmKVLfEtIIT\neAJ4MwiCp4AlQKm78IZh+MQm5qqV0lIbRk3W8tZMFNIruHF9ZvZyTr1kDElJSdxx5YVVnrE+Si13\nXIqfVzQuqhqPPvoojz7yCABJSUl079Ej6gM/Py+P9EaNoo5NTU2lqKgoqoCWl5dHenp61YWuR1JT\nU8kvUzTLX1PYLPszTktNjSp65uflOxZxVt7PeW1h099fiSE/NzeqcJaSlkreHzk1lEj5kYrGxE06\n4q34d1jpotm6OVjaeubGo69fMzceVeUZ65u0hus5X6mgyJ+ZvYJTLhtXPCaXnVflGeubtNRU8suM\nydr5btl5VXnFsrz8fBo5/4oLz1VUkvt11j2xFjiPoXgF53HlvFZEcQG0ztmiVQuyV6yisLCQBg2K\nF79mLssmLTWVpptvFtX/58wshl10LQ0aNGDibddGXSqt+NiiVctyxmV5heOiqnPUUUex775/Xmo2\nYcIEsjIzS/XJzMqidatWUcdmZGSQlpZGZlYWbdu1A6CgoIAVK1aU21+Vt0WbNmQvX176vZKZRVpa\nGk2blP791KZ1a7Iys0q1ZWZl0cqxiKs2bVqTvXxFqTHJylpW7piodlrxv59pumXrUm1Nt2zNyh9/\nqaFEWl7OmDTbsjUrHJO426JVC7JXriz9uZJd8Rzs58xlDLtkzdz41qtLXcKu+GjTqgXLV66KGpP0\n9YzJ0NE3kNwgicdvuqLUJeyKjzZt2pCdnV1m/pVZ/FnftGlU38ys0vOvrMxMWrUu/TtNsfFcRarb\nYt1kqP16Httt+E9ITJ07tKNhSjIz5/95X6epc+bTI+gQ1Tcnksvpo8eSkpLME7dfS6vmGVF9FB+d\nO5YzLrPn0T3ouJ6jVBWaNm3KNttss+7Rs2dPZpa5SfeMGTPoUeIm62slJSXRrVs3pk+fvq5t5syZ\npKSk0CkIovqr8oJO25OSksKs2XPWtU2bMYPuXbtE9e3ZozszZpW++f2MmTPp2aN7leesTzpvvz0N\nU1KYVWKjp6kzZtK9S+caTKXKWPL5dNrvVvpyzva792XJ59MrOEJVbfFn0+mwe+kx6bBHXxZ/5pjE\nW+cO7WiYnMLM+X9u7Dh19nx6lDMHy4nkcvplY0lJTuGJW50bV5Uu27UlJTmFmSU2evpyTkj3TtGn\naDmRXE678qbi85Wbr6RV82ZRfbTpgiAonn+V2Cho2vTpdOvWLapvzx49yp079+zhHR7jwXMVqW6L\nqcAZBMHf1/eId8jaIj0tjYMH7sW1dz7EnPBr3v34Cya+8BonHn4gUPztaO6aJesPPvNvvv/pF264\n+BwKi4rIzF5OZvZydyWsAulpaRw8qB9j7niQOeHXTProcx5/4VVOOqJ4l/TMZX+Oi6rXoEGDWLVq\nFbfccguLFi3ipptuIpKTwz777ANAbm4uWSW+pT766KN5fOJEpkyZwpw5c7hh7FiOOPJI0iq4zE2V\nk56ezuADD+C6cTcxd958Jr/3Pk889QxDjjsWgKysLHJzcwEYNKA/q35bxc233cGixYu58dbbiERy\n2XfggJr8K9Q56elpDD5gX8bcdCtz5y9g0vsf8MQzz6/bJT0za9m6MVHt0aRNq3WXQM/4139plNGU\nw267gi06d+DwO64itXEjpv/zjRpOWb8Uj0nxZ8W0f/2HRhlNOer2K9mycweOvvNqUhs3Yuo/X6/h\nlHVPeloqBw/6O9fe/TBzFn5TPDf+9+uceNgBQJm58bMvrpkbn01hUaFz4yqSnpbKwQP25Jp7JjBn\n4SLe/eRLJr74H046dD+g+HL0dWPy3Cv876dfGTfqjDXnKyvIzF7hmMRZeno6gwcP5vqxY5k7dy6T\nJ0/mySeeYMgJJwBl5l/lzJ1zIpF1c2fFl+cqUt0S6yZD71XweAuYuImZarVLzzqZrp06MOzia7nh\n3kcZMfRYBuyxMwB7HX0ab773CQDvfvQ5uXl5HDviMvodc/q6x7jxj9Vk/DrrkrOG0rXTdgy/6Gpu\nuPcRRgw7jv5rxqXf0afw5nsf13DC+mmzzTbj7nvuYdrUqRx/3HHMnTOH+8aPX3efmrfeeotBA//c\nqXPf/fZj+CmncP1113H2WWfRs1cvzj///JqKXyddfMFIunYJOPWssxl3y62cc+YZ7N1vLwD673cg\nb70zCSgeu3vvuJ2p06dz7IlDmTN3HuPvvsN7DFWBi0eOoGsQcMrZIxl3612cc8Yp9N/rbwD0P/BQ\n3po0pYYTquxNmq773+f0Obr4S7Tc337nwYNPoePfduaiL16l7U69eODAYeRHLExXqTJjctOPX9D3\n6OIvnHN/+537DhpOx7/vzD++fI12O/finv2HOiZV5NIzTqbr9tsx7JIx3HDfY4w4+RgGrNlUc69j\nz+DN9z8F4N2PviieG593Gf2OO2PdY9wDE2swfd00+vQhdNu+PUNHj2Xs/Y9z3olHMmDNZk5/P+Ec\n/vvB5wC888n/EcnL45gLrmKvIeese4x78KmajF8nXXThhXTp0oXTTj+dG2+6ibPPOYe9994bgAED\nB/L2228DxfOve+6+m6nTpnHc8cczZ+5cxt93n/OvKuK5ilS3JBXF4c6qQRAkAx2Ae4GnwzB8PIY/\npqjgu9kb7qVqkbxt8WUQq7+fu4Geqk4p23QjJ+ImCbXJ2pu+565aXsNJVFJakwzylnu/vdokNaMN\nAOclt6/hJCrp7oLFnJnUrqZjqIQHipYAULB05vo7qlolt+1F4aIvazqGSmiwXXHRNpLjpm61xdrN\neTxfqV3WnK8k1XSO2mb2jyvcZqgcPbZqlrD/VmJdwVlKGIYFYRguBEYB18Xjz5QkSZIkSZKkDYlL\ngbOENoB3DJckSZIkSZJULVJiOSgIggnlNDcBBgEvbFIiSZIkSZIkSdpIMRU4ib5/QxGQBVwIPLlJ\niSRJkiRJkiRpI8VU4AzDcFi8g0iSJEmSJElSZcV6ifrmwBXAY8BXwETgCGAaMCQMw6XxCihJkiRJ\nkiTFS5F7qNc5sW4ydD9wAMWXph9PcXFzOPATMD4+0SRJkiRJkiRp/WItcB5I8UrNhcCRwGthGD4P\nXAbsFa9wkiRJkiRJkrQ+sRY4k4C8IAgaAQOBN9a0twB+i0cwSZIkSZIkSdqQWHdRnww8THExswB4\nJQiC/sC9wKtxyiZJkiRJkiRJ6xVrgXM4MAZoCxwahuHKIAh6Av8BroxXOEmSJEmSJCmeCt1lqM6J\nqcAZhuEKYGSZ5qeBzDAM/VciSZIkSZIkqVrEVOAMgmBr4HbgRmAB8BawJ/BdEASHhGE4M34RJUmS\nJEmSJKl8sW4ydD/QGsgChgI9gN2B14B74pJMkiRJkiRJkjYg1gJnf+CsMAy/Aw4DXgnD8HOKV3Xu\nGK9wkiRJkiRJkrQ+sRY4I0CjIAiaA/2A19e0tweWxSGXJEmSJEmSJG1QrLuovww8D+QA2cAbQRAc\nDdwFTIxPNEmSJEmSJCm+CgprOoHiLdYVnGcBDwLvA/3DMIwAacBY4LI4ZZMkSZIkSZKk9YppBWcY\nhquBOwCCIGgeBEED4KkwDIviGU6SJEmSJEmS1iemAmcQBEkUr9S8AMgAOgFjgiD4DRgZhmFu/CJK\nkiRJkiRJUvlivUT9SmAIMBRYW8x8HNgHuGXTY0mSJEmSJEnShsVa4BwKnBGG4etAIUAYhu8AJwNH\nxyeaJEmSJEmSFF+FRUU+ynkkslgLnFsAP5TTng1sHnscSZIkSZIkSdp4sRY4JwEXl3heFARBE+AG\nYMomp5IkSZIkSZKkjRBrgfNsoE8QBD8BjYBXge+BdsCI+ESTJEmSJEmSpPWLaRd1IDsMw52DIOgP\ndFnz54TA22EYFsYtnSRJkiRJkiStR6wFzrlBEBwWhuFkYHI8A0mSJEmSJEnSxoq1wFkApMYziCRJ\nkiRJklTVChJ8x3BFi7XA+QbwThAErwNLgEjJF8MwHLOJuSRJkiRJkiRpg2ItcPYApgJbrXmUVARY\n4JQkSZIkSZJU5SpV4AyCYAhwOPAz8EoYhs9WSSpJkiRJkiRJ2ggNNrZjEAQjgceARsBmwGNBENxQ\nVcEkSZIkSZIkaUMqs4LzTOCUMAyfAAiC4HCKi5yXh2Ho3VklSZIkSZJU6xW6yVCds9ErOIEOwKQS\nz1+leCVn2XtwSpIkSZIkSVK1qEyBMwXIX/skDMPVQA6QHu9QkiRJkiRJkrQxKlPglCRJkiRJkqRa\npVK7qANHB0GwssTzZOCwIAh+Ldlp7X06JUmSJEmSJKkqVabA+S1wYZm2n4Fzy7QVARY4JUmSJEmS\nJFW5jS5whmHYrgpzSJIkSZIkSVWuoLCmEyjevAenJEmSJEmSpIRlgVOSJEmSJElSwrLAKUmSJEmS\nJClhWeCUJEmSJEmSlLAqs4u6JEmSJEmSlNAKi4pqOoLizBWckiRJkiRJkhKWBU5JkiRJkiRJCcsC\npyRJkiRJkqSEZYFTkiRJkiRJUsJykyFJkiRJkiTVGwVuMlTnuIJTkiRJkiRJUsKywClJkiRJkiQp\nYVnglCRJkiRJkpSwLHBKkiRJkiRJSlgWOCVJkiRJkiQlLHdRlyRJkiRJUr1R6CbqdY4rOCVJkiRJ\nkiQlLAuckiRJkiRJkhKWBU5JkiRJkiRJCSupqKjW3Hig1gSRJEmSJEmqI5JqOkBt8+5Xv1qDKsfA\n7Vsn7L+VWrXJ0O1NOtV0BK0xatVCAB5q3rmGk6ik07MXEPnj95qOoRLSG28GwKvzfqrhJCrp4K5b\nsuDnlTUdQyV03qIpAAVLZtRwEpWU3K43BUtn1nQMlZDcthcAZya1q9EcKu2BoiW82aFPTcdQCft9\nMx2An1Y4N64ttmxWPC/OW5FZw0lUUmqzVjUdoVYqcJehOsdL1CVJkiRJkiQlLAuckiRJkiRJkhKW\nBU5JkiRJkiRJCcsCpyRJkiRJkqSEZYFTkiRJkiRJUsKqVbuoS5IkSZIkSVWpsMhd1OsaV3BKkiRJ\nkiRJSlgWOCVJkiRJkiQlLAuckiRJkiRJkhKWBU5JkiRJkiRJCctNhiRJkiRJklRvFLjHUJ3jCk5J\nkiRJkiRJCcsCpyRJkiRJkqSEZYFTkiRJkiRJUsKywClJkiRJkiQpYVnglCRJkiRJkpSw3EVdkiRJ\nkiRJ9UZhkduo1zWu4JQkSZIkSZKUsCxwSpIkSZIkSUpYFjglSZIkSZIkJSwLnJIkSZIkSZISlpsM\nSZIkSZIkqd4oKHSTobrGFZySJEmSJEmSEpYFTkmSJEmSJEkJywKnJEmSJEmSpIRlgVOSJEmSJElS\nwrLAKUmSJEmSJClhuYu6JEmSJEmS6o3CIndRr2tcwSlJkiRJkiQpYVnglCRJkiRJkpSwLHBKkiRJ\nkiRJSlgWOCVJkiRJkiQlLDcZkiRJkiRJUr1R4B5DdU5MBc4gCA4EOgNpZV8Lw/CGTQ0lSZIkSZIk\nSRuj0gXOIAgmACcAs4GcMi8XARY4JUmSJEmSJFWLWFZwHgkcEYbh6/EOI0mSJEmSJEmVEcsmQz8A\nP8U7iCRJkiRJkiRVViwrOM8ExgdBcBewFCgs+WIYhp/EI5gkSZIkSZIkbUgsBc4dgD7Ak+W8VgQk\nb1IiSZIkSZIkqYoUFrmNel0TyyXql695NAUalnmkxi+aJEmSJEmSJK1fLCs484GXwjD8Ld5hJEmS\nJEmSJKkyYlnBeQVwcxAEbeMdRpIkSZIkSZIqI5YVnJcCfwUODoKgiOhNhrxMXZIkSZIkSVK1iHUX\ndUmSJEmSJCnhFBa6yVBdU+kCZxiGkyp6LQiCNpsWR5IkSZIkSZI2XqULnEEQbA+MA7oByWuak4A0\nYCuKd1OXJEmSJEmSpCoXyyZDDwPbAPcA2wL3Aq8BrYDT4hdNkiRJkiRJktYvlgLnzsBZYRiOB6YB\ns8MwHAWcDwyNYzZJkiRJkiRJWq9YNhlaDWSv+d8LgD7AFOAt4KY45ZIkSZIkSZLirsA9huqcWFZw\nfgqMCoIgDfgSGLymfQcgL17BJEmSJEmSJGlDYlnBeSHF99z8FngAOD8IgkygKcWbD0mSJEmSJElS\ntah0gTMMwzlBEHQAGodh+FsQBDsC/YGsMAw/intCSZIkSZIkSapApQqcQRC0B3ajeMf01CAIVgJL\ngClhGK6MfzxJkiRJkiRJqthGFTiDIGgMPAkcBiwDMoACYDbQDmgUBMG9wD/CMCysmqiSJEmSJEmS\nVNrGruC8E2gGbBuG4f+CIGgC3AGsCMNwxyAIdgMeB4qA0VUTVZIkSZIkSdo0hUVuo17XbOwu6kcA\n54Vh+D+AMAxXASOAs4Ig2DwMw0+BE4ChVZKyFklObcg+943l7G//j9PDD9nh3GEV9m3bfw+GfPwK\n5/4wjcNfnkBGx3bVF7SeaZDakL/ffT0nL/6cE+a+T4+zh1bY9y9778HhH7zE0G+ncsC/H6VZh3bV\nlrM+ycvL4+prrmXPv+/FwH325Yknn6qw7/wFCxhy0knsstvunHDiScyfP78ak9Y//1u0kHsuPYvL\njt2Xuy85k++/WVhh37zcCC/cdzNXn3QwV584mH/dfyt5kZxqTFt/LFoYcvGZwzh6n79x0RlD+SZc\nUGHf/Px8Hht/F8OPOJATDhzAuMsvJuvXX6oxbd2Xl5fPFbc/wK5HDKff8Wcy8d+vV9j3/c+ncfjZ\nl7LjoSdz2FmXMOWzqdWYtP7Iy8vnitvuZ9fDh9HvuDOY+K8NjMlZl7DjISdx2JkXM+XTL6sxaf2U\nkprKlbPepOPfdq6wz7a9u3HJpy9x12/zuPSzl9m2T7dqTFh/JKU2pPu4qxkw7X36ffwW7YYPqbBv\nm332Zs83/83AmR+x87OP0qRrUI1J65+F4QLOGn4S+/59d84cdhILF2zcnPfmsdcx8ZGHqjhd/ZOX\nl8dV141j9wH7MeDAQ3j86ecq7Ds/XMgJw09j578P4PhhpzFvQViNSSVtjI0tcK4EupZp+yuQBiSt\neV4IJMcpV63197GjadOrG/884EQmjbqG3UafS8eD94nq17JzRw594UG+fu0dnvrbYfw6ax5Hvf4E\nKY3SayB13bfrdZfSqldXXht8Eh9ddC19Lz2HdgcNiurXvHNH9nvufpa8/i4v9juczNnzOPCViSQ7\nLnF32+13MH/BAh59+GEu/8c/ePChh3h30qSofjk5OYwYcR59+/bl+WefoVfPHpx73kgikUgNpK77\n8nIjTLh+NNt168X5tz1M26AbE8ZeSn5ubrn9X3nkbv636CtOv/Y2Th9zO999NZ/XHhtfzanrvtxI\nhDGXnk/3Xjtw+yNP0rlbD6679Hxyc8t/Hzzz6AN88dEHXHT1WG4a/ygFBasZd8Ul1Zy6brv54SeZ\n9/ViJt58FVeeewrjn/oX73z0eVS/cNFSRl53O0fu15+X7r+Zow8YwPnX387Cxd/WQOq6bd2Y3HI1\nV444lfFPvVDxmIy5jSP3789LD9zC0QcMdEyqWEpqKqc8ezdbdd2+wj4NG6VzzhsT+Or9z7lhh4NY\n9Ok0zn3jMRqmp1Vj0vqh8z9G0bRbZ744/jTmXT2ODuedzhb79I/qt1nH7eh1+1i+Gf8IHx94NKsW\nLKTvI/fQIDW1BlLXfZFIDqMvOI9effry8JPP0K1HDy69YCS5G5jzPvPERP7z6svVlLJ+ufWue5kf\nhjx2/z1cfslFPPDIBN6d8l5Uv5xIhHMuuIi+ffrw/JMT6NWjG+dccDGRSPnzZ0k1Y2MLnPcDjwZB\ncFkQBAODIDgZeA14MQzDVUEQnAA8CzxTVUFrg5RG6XQ/6UimXHI9mXMW8M0bk/i/Ox+m9+knRPXt\necpx/PDZND678V6Wf7OUD6+6ldyVq+hyzME1kLxuS26UTuchR/DJ6LEsmxOy9L+TmXn3I3Q7LXpc\nugw7lp8/n860m+9j5aKlfHHNbeStXMX2Rw2ugeR1V05ODi+/8gqjL7mYIOjE3nv3Y+jJJ/Hc889H\n9X3zrbdIb5TOBSNH0q5dOy65+GIaN27MO++8WwPJ674ZH06iYVo6B550Jm3+8lcOOWUEaemNmfnJ\nlHL7N0xN5dDTRvKX9tvzl/bbs9OAA1g8f3Y1p677Ppz0Nmnp6Zx81gi2+Ws7Tj3vQho13oyPp0R/\nKQAw5c03GHL62XTt2Ztt2rbjnIsv5+sF8/jxf99Xc/K6KSeSy4tvTeGys4bSuUM7Buy+E8OPOphn\nXn0rqu8b733Mrn26c/zB+7LtVltw3OB92aVnN9784NMaSF535URmsRO7AAAgAElEQVRyefHNyVx2\n9rA/x+ToQ3jmlTej+r4xZe2Y7Fc8Jgfvyy69uvHm+5/UQPK6b8vOHbjks5do2X7b9fbb6djB5P2R\nw0ujb+TnhYt44YIxRFb9xg5HHVhNSeuHBunpbHPUIcwfczOrFizkl3ffY/FDj/PXk46J6ttqz11Z\ntfAbfnz1v+R8/wMLb7mbtNYt2Xz77Woged036e23SE9P58wRI/lr23aMGFU8550yqfw57x+//85V\noy/muSefYIstt6zmtHVfTiTCS6++zugLzyfotD399/obw048gWf/+e+ovm++/S7p6emMGnE27du2\n5dJR57NZ48a8PWlyDSSXVJGNKnCGYXgzcBlwIvA6cB3wCn9ekt4HeBAYFf+ItUfrHp1pkJLMD59P\nX9f2w6dT2WrHXlF9m7Xflh+/nFWqLXPuQrbauXeV56xvWnbvTFJKMj9/MWNd20+fTqNN355RfZu2\n24Zfps4s1ZY9fyFb7OS4xNPChQtZvXo1PXv+OQZ9evdh9uw5UX1nz5lDn959SrX17t2LmbNmRfXV\npvv2q/m069KjVFu7Lt1ZGs4tt/+hp51Pu87dAVj2y49M/+BdOvbw/RJvC+fNoWuP0p8lnXv0JJwb\nXUwuKipi1JXX0avvziXaiv/7x2+/VWnO+iJctJTVBQX07tppXVvf7p2ZteDrqL6HDerHqOHHR7Wv\n+v2PKs1Y31RqTPbpx6hTor/kdEyqxvZ77Uo46WNu3u1wSEqqsF+7XfrwzUelbxXwzcdT2W63Hao6\nYr3StEsnkpJTWD79z3lU9pczaNarR1Tf/OUr2Hz7DmTsUPz5s81Rh7J61W/8sdQvy6rC/Llz6NGr\n9Jy3e69ezJ1d/pz3xx/+R35+Pg8/+TRbbv2X6ohYr4QLv2Z1QQG9enRf19and09mz50X1XfW3Hn0\n6VX63LJ3rx7MLOfcRlLN2dhNhgjD8D7gvgpeuyhuiWqxzbZsQ05WNkUFBevafv81i+T0NNJbZBBZ\ntnxd+x+/ZLL5VluUOr7JNluW6qP4aLxFayJZy0uNyx+/ZpKcnkZa8wxys//8mef8ksVmZcZls79s\nRa7jEle/ZmbSPCODlJQ/f8W0bNmCvLw8li9fTkZGxrr2zF8z6dixQ6njW7ZoyTeLvqm2vPXJquws\ntvxr+1JtTZq14KfvFq/3uOfuHse0996ieZutGHjUyVUZsV5alpVJ2+1Kvw8ymrfguyWLovomJSXR\ns+9Opdpe+9ezNM1oTrsOHas0Z33x67JsmjdtSkryn3feaZnRjNz8PJavXEVG0ybr2ttvu3WpY79a\n8h2fzZjDsYOjb1+j2G3ymEyfw7GD9622vPXJhw8+vVH9mm3Vmh/mlL7n88qfM9m6W8WXtavy0lq3\nIi+79Lw4LzOL5LRUGmY0I3/5inXtP77xFm0G7MUuz0+gqKCAosJCpp56Hqv9sqxKZGVm0r5D6c/6\nFi1asriCOW+H7Tsx7rY7qyNavZSZlUnzjGalz1datCA3L4/ly1eQkdHsz76ZmXTsUHplc8sWLfhm\n0frnz6rdCtxkqM7Z2EvUSwmCoF8QBM8EQTA9CIKpQRA8FgTBThs+MrE1bJROQW5eqba1z5PL3Ksm\n/Pd/6HTYfrTftx9JDRrQ9fjD2HKHHiQ3bFhteeuLlMbpFOSVHpfCteOSVnpcvnnpv7Q/ZD+23Wcv\nkho0YPtjD6V1n+40cFziKhKJ0LDMe2Lt87y8/Ki+qWX6pqY2jOqn+MjLzSW5Yemfd3LDhqzOX//P\nu//hx3PujffTvHUbHrnu4qqMWC/l5kZo2DD6PZO/Ee+Dzz98n1eef5qTzjiH5JSN/t5S65GTm0dq\nw9I/y9TU4s+JvPW8V7JXrOT8626nb/fO9N9txyrNWN/kRHKjx6ThRo7JmNsck1ogtXEjVpeZR6/O\nzSMlzfs9xlODRukUlp0Xr3le9t6aqRkZpLZuybyrxvHp4Sfyw0uv0+Pma2nYPAPFX24kQmrUZ31D\n8jcwB1PVKP5cKfOeWPe5krfhvqkNo/pJqlmVPhMKgmAoxZejvwA8TvHGQjsCHwZBcGwYhnX2Dsir\nI7lRBbO1z1fnlN5VeOmkj/j0xnsZ/NQ9JCU34LsPPmfeMy+T2nTzastbXxRE8qIKzA3Wjssfpcfl\n+8kfMe3m+xj0+N00SG7ADx9+wcJnXya1xMoPbbq01DTyy0yu1z5PL7OhU2paKnll+ubl5dMo3Y2f\n4mHyv59i8r/W7GCflMRfO3WhoMxkrCA/n9S09f+822zTFoAhF17DdaccwaK5M9muW/TtObRx/vXU\nY7zw5ESgeEVmp67dyM+Pfs+kbeB98NmH73HrtZcz+MhjGXiA93iOl7TUhuTlry7VtvZLl/S08jdE\nycxezqn/GEtSEtxxxQVVnrG+SUtNjR6T/I0Yk9HXk5SUxB1X1um7KCWE/EhuVDEzJS2VvD/cVDCe\nCnPzogqZa58XlDlf6XTpSFYt+Irvnv0XAHMvv549336Rvxx5MEsefqJ6AtdhT02cwFMTJwDFn/Vd\nunWPKojl5+WTvoE5mKpG8edKmXOQtZ8rZeZf5fZ17KRaJ5alHlcDZ4dh+GjJxiAIzgTGAXW2wPnb\njz/TqGXz4vsLrVnOvFmbVqzOiZC7YlVU//+77UGm3vUoqc2aEMnK5sCJd7Ly2/9Vd+w67/cffya9\nZUapcWncpjUFORHyVkaPy4w7HmLmPRNIbbo5ucuWM+DR2/ntO8clntq0aU328uUUFhbSoEHxQvHM\nrCzS0tJo2qRJmb5tyMzKKtWWlZVFq1atqi1vXbbbfofQa48/d06d8uLTrMpeVqrPyuXLaNK8RdSx\nBatXM+//PqFT7x1Ja9QYgM0zmtO4SVN+X7kiqr823n6HHMme/Qete/7vpx8ne1np98HyZVk0b1nx\n++CDSW9z19ir2f/QIxl2zvlVlrU+2qJlC7JXriz9Oyx7OWmpqTTdfLOo/j9nLmPYpWNo0KABE2+5\nutTl0oqPLVrFMCaXXFs8Jrc6JrXB8v/9TNMtW5dqa7Zla1b8+EsNJaqbcn/+hdTmpefFaa1bUhDJ\nZfWq0peeN+3WhaWPl94jdtWChTTaeqtqy1uXHXLEUfQf9OftSp5+/DGWlZnzLsvKooVz3hrRpnVr\nspevKPW5klXh+UprMrNKz58zs7Jo3aplteWVtGGxXKLeEihvG8opwPq3T0xwv86aT2H+6lIbBf1l\n9x35eVr0JhDBEQey17h/ULh6NZGsbFLS09j277vw3QefV2fkeiFrdvG4lNwoaMvd+vLr9OibPnc4\n/AB2GzuaotWryV22nOT0NLb+2y788KHjEk9BEJCSksKsWX++N6ZNm063bt2i+vbs0YOZM0vfXH3G\njBn07BF9M3xVXqPNmtByy63XPdoG3VhSZkOhpQtm07ZT9NgkJSXx/N03MH/qZ+vasn/9mT9WraTN\nNn+t8ux12eZNmrDl1tusewTderBgTun3wfzZswi6di/3+JlTv+CusVdz0BHHcOp5F1ZH5Hqlc4d2\nNExOYeb8r9a1TZ2zgB6dOkT1zYnkcvrlN5CSnMwTt1xDKy/trBLljsns+fQIou87mxPJ5fTLxpKS\nnMITt17rmNQSiz+bTofd+5Zq67BHXxZ/Nr2CIxSLlfNCClevJqPPnxuiNN9pB1bMjt5MMPeXX9m8\nY+n7Cm7Wvh053/9Q1THrhSZNmrD1X7ZZ9+jWoydzy2yiOXvWDLp1d85bEzp32p6GKSnMmvPne2Pq\njJl079o5qm/P7t2YMav0Of+MWbPp2T16/iyp5sRS4HwAuDkIguZrG4IgSAdGA/fHK1httDqSy7xn\nX2bgndeyRZ/udDhoIH1HDGfa+McBaNy65bpL1rO/XkzP4cfScfAgMjq05YAJt7Py2x9Y8s4HNflX\nqJMKIrl89fwr7Hn7NbTq3Z22Bwyg57nDmH1/8bg0KjEuy79eQpehx9DuwIE03a4t/R++lVXf/cB3\n735Yk3+FOic9PZ3BBx3E9TeMZe7ceUyeMoUnn3ySIccX7zSclZVFbm4uAIMGDmTVqlXccuutLFq0\niJtuvoWcSIR99hm0vv8Lxej/2bvr+Kzq/o/jrwELSrql4yCjue3u7m4s7C7U2wYRFbtQFBPj/gm3\neRvYil30oUG6YcB6+/2xOTc2YLtcXdvr+XhcD9j3+p7tvX1hO9dn33M+vXbbh+SNG3jn+cdZ9uc8\n3h71KGmpqfTZfV8A0tNSSVqb8xvqGjVrssvBR/O/V55l7rRJLJwd8uqIO0nceQ9atO1QgZ9F1bPb\nPvuzcUMSox57kD/nzeXZRx4gNTWF3fc7AMi5d+ra3B2emZmZPHbv3fTsO4BjTz2TtatX5T0yMjK2\n9mFUTAnxcRx1wF7c+dgoJs+YzfgJP/HCW+9x5rGHATk7B1Nzb60x8rVxLFy6nHuuu4Ss7CxWrlnL\nyjVr2WDH7lKVEB/HUQfuxZ2PPpuzJt/+uJU1GZuzJte7JhWtfvOm1Mq9hcCv//cBtRtux4kP3krL\n7p056eHbiatTm1/efK+CU1YtWampLB73Hol338x2vXrQ/MB96HDemcwfnbNTM65J47xL1he+MZbt\nTz6OVkcfRu1229Pt+itIaN2SRWPfrchPocraZ78D2JCUxOMPPsC8uXN4dMT9pKaksO8BOee8qamp\nhXZ4quwkJMRz5GGHcNe99zNl6jQ+/eIrXnr1dc445WQAVq5anfd65aD99iEpaQPDH3yEOXPnce+I\nh0lJSeHgA/avwM9A0uZiskvYOSoIgs+B3YAMIATSgW5AA2AOkPXX3DAMu5XgXWc/WL8k0ytGrYR4\n9nvoDroedTBp65P46eFR/D7yZQCuXjedDy8azLTXcq7S73Hasewy+DISGjVgwRcT+OyaO9m0Ijp+\naF2TlNPl8plGhX+DVRnVTIhnjwdup+ORB5GWlMQfjzzHlGdz7jt4waqpfHHJTcx8420Aup5yDANu\nvJT4Rg1Y9MV3fHv9XSRHyboMWjOdlE0bKzpGsaSkpDB02DA+/fQz6tWrx8Czz+a0U08BoG//Adx9\n550ceeQRAEyZMpW7hw5h7tx5dOvalVv/fQvdulX+7wcACXVyLo18Z+rSCk5SfH/Oms5bT41g+aIF\ntGrfieMvvo7WHXJ2pv382Ye8+cRw7nvrcwAy0tP5cMwofvvyE9JSU+m1614cfd7leZesV1ZH9WjJ\n9GXrKzpGicycPpWnHhjGwgXz6NC5K5dcdxMdOud0F/7sf+/x2PC7GffFD4RTJzP4kvMKHJudnU1M\nTAxDHn6KxL79KyL+NnVvsR0AmfN+r+AkxZOSmsZdj43ik29/pH6dOpx70pGccfShACQecgr3XHsx\nRx+4N0ecfzXzFi0pdPzRB+zN0GsvLu/YJVazQ18y5/9R0TGKJW9Nvvkhd02O4oxjctfk4JO557pL\nctbkvKuZt6jwDrSjD9yboddeUt6xS6xm+5z7G18U06FCc0TiyYzZPLjvqcz6+sectzPn8OLA6/jh\n5bEAtBvQi9NH3kPL7p1ZNHE6r154M4smTa/IyMX2dPY8Puzcr6JjFEuN+Hh63HUTLQ/en/QNG5j7\nzIsseOl1AA6e+QuTbridxeNyCsttjj+KjhecTXzLZiRNncG0u+4jafqMrb37SuOQ2Tm7f5eui45z\nY4DpU6cy4t4hLJg3j05dunLdTbfQuWvOOe+H773L8CF38vn3Pxc67qqLB9F3wL8YeP6g8o5cIi0b\n5JwXp61bWcFJiiclJZUh9z3A+M+/oF7depxz5mmcfvKJAPTeeQ+G3HYLRx2e83NmytRp3Hnv/cyb\nN5+uXTpz2003EHQtfBVBZRTXoClATEXnqGxG/TjfNupFOH+n9lH7byWSAud5256VY/P7dG5DVBQ4\nq4toK3BWF9FU4KwuorHAWR1EY4Gzqou2Amd1EU0FzuoimgucVVk0FTiri2gscFZ10VbgrC4scBbN\nAmfRornAWeImQyUsWkqSJEmSJElSmSlxgTMIggAYAnQH4jd/voSXpUuSJEmSJElSxEpc4AReA9KA\nkUBy6caRJEmSJEmSpOKLpMAZADuGYTi1tMNIkiRJkiRJZSnTO3BWOTUiOOYjYNfSDiJJkiRJkiRJ\nJRXJDs6rgN+CIDgVmAdk5X8yDMNBpZBLkiRJkiRJkrYpkgLn00A2sJYimgxJkiRJkiRJUnmJpMC5\nD7BnGIa/lHIWSZIkSZIkSSqRSO7BOQWoV9pBJEmSJEmSJKmkItnB+TjwchAEzwFzgYz8T4ZhOKY0\ngkmSJEmSJEmlLSvbNupVTSQFziG5f55fxHPZgAVOSZIkSZIkSeWixAXOMAzblkUQSZIkSZIkSSqp\nSHZwEgRBfeA0oCswDNgJmBqG4fxSzCZJkiRJkiRJW1XiJkNBEPQAZgIXA1cADYCTgUlBEOxRuvEk\nSZIkSZIkacsi2cH5KPBcGIa3BEGQBBCG4cAgCFYCI4CdSzOgJEmSJEmSVFoybTJULoIguBc4l5wN\nls+FYXhjMY7ZDpgK3ByG4UvF/Vgl3sFJzuXoo4sYfxLoGcH7kyRJkiRJklRFBEFwLXAKcDRwPHB6\nEATXFOPQ+4BWJf14kRQ4VwFdihjfBVgewfuTJEmSJEmSVHVcAdwahuF3YRh+CdwIXLa1A3Jvfbkf\nsLSkHyySAuf9wKggCC7MPX6vIAhuBZ4CHo7g/UmSJEmSJEmqAoIgaAW0Bb7ON/wN0D4IghZbOCYO\neAa4BEgr6ccsVoEzCIK9giCoBRCG4ZPA5cDZuR/wMXK2m14chuEjJQ0gSZIkSZIkqcpoBWQDi/ON\nLQNigO23cMwtwC9hGI6P5AMWt8nQ57nhlgOEYTgOGBfJB5QkSZIkSZIUvYIgSADabOHpegBhGObf\niZma+2d8Ee+rBzAI6BVpnuIWOGMi/QCSJEmSJElSZZGZZRf1UrAzORsii/pi3gg5l53nK3L+Vdjc\nVMT8Z4DbwjBcGWmY4hY4oejAkiRJkiRJkqqR3MZBRd76MvcenMOBlsCC3OGW5NQWl2w2tx2wG9A7\nCIIHc4frAE8HQXByGIaHFydPSQqcPwdBkLmtSWEYdirB+5QkSZIkSZJURYRhuCQIgj+BPYAxucN7\nAgvCMFy22fRFQJfNxr4kp5H5GIqpJAXOEcC6EsyXJEmSJEmSVP08BQwPgmARObe+HAbc/9eTQRA0\nBZLDMNwIzMl/YBAEGcCKMAwL7PbcmuIWOLOB18MwXF7cdyxJkiRJkiSpWrofaAaMBTKAUWEYPpLv\n+Z+A0cBdRRxb4ttk2mRIkiRJkiRJ1YZNhspeGIZZwHW5j6Ke77iVY0t8+8sibwZahBeB5JK+c0mS\nJEmSJEkqS8XawRmG4TllHUSSJEmSJEmSSqq4OzglSZIkSZIkqdKxwClJkiRJkiQpahW3yZAkSZIk\nSZIU9WwyVPW4g1OSJEmSJElS1LLAKUmSJEmSJClqWeCUJEmSJEmSFLUscEqSJEmSJEmKWhY4JUmS\nJEmSJEUtu6hLkiRJkiSp2rCLetXjDk5JkiRJkiRJUcsCpyRJkiRJkqSoZYFTkiRJkiRJUtSywClJ\nkiRJkiQpatlkSJIkSZIkSdWGTYaqHndwSpIkSZIkSYpaFjglSZIkSZIkRS0LnJIkSZIkSZKilgVO\nSZIkSZIkSVHLAqckSZIkSZKkqGUXdUmSJEmSJFUbdlGvetzBKUmSJEmSJClqWeCUJEmSJEmSFLUs\ncEqSJEmSJEmKWhY4JUmSJEmSJEUtmwxJkiRJkiSp2rDJUNXjDk5JkiRJkiRJUcsCpyRJkiRJkqSo\nZYFTkiRJkiRJUtSywClJkiRJkiQpasVkZ1eaG6tWmiCSJEmSJElVRExFB6hsbv9oujWoItx5cPeo\n/bdiF3VJkiRJkiRVG3ZRr3oqVYHz9+MPrugIytX3rY8AeLxBUMFJlN9l60KWr9tY0TGUT/MGdQF4\nc+LiCk6i/E7q3Zp3pi6t6BjK56geLQHInPtrBSdRfjU79idrzs8VHUP51Oj0LwA+7NyvgpMov0Nm\n/8ZFMR0qOobyeTp7HgATF6+r2CDK07t1AwBWJW2q4CTKr0n9OhUdQSoX3oNTkiRJkiRJUtSywClJ\nkiRJkiQpalnglCRJkiRJkhS1KtU9OCVJkiRJkqSyZJOhqscdnJIkSZIkSZKilgVOSZIkSZIkSVHL\nAqckSZIkSZKkqGWBU5IkSZIkSVLUssApSZIkSZIkKWrZRV2SJEmSJEnVhl3Uqx53cEqSJEmSJEmK\nWhY4JUmSJEmSJEUtC5ySJEmSJEmSopYFTkmSJEmSJElRyyZDkiRJkiRJqjYybDJU5biDU5IkSZIk\nSVLUssApSZIkSZIkKWpZ4JQkSZIkSZIUtSxwSpIkSZIkSYpaFjglSZIkSZIkRS27qEuSJEmSJKna\nyLSLepXjDk5JkiRJkiRJUcsCpyRJkiRJkqSoZYFTkiRJkiRJUtSywClJkiRJkiQpatlkSJIkSZIk\nSdWGTYaqHndwSpIkSZIkSYpaFjglSZIkSZIkRS0LnJIkSZIkSZKilgVOSZIkSZIkSVHLJkOSJEmS\nJEmqNjKzbTJU1biDU5IkSZIkSVLUssApSZIkSZIkKWpFdIl6EASJQHcgfvPnwjAc809DSZIkSZIk\nSVJxlLjAGQTBUOAmYDWQvNnT2YAFTkmSJEmSJEnlIpIdnBcDg8IwHFXaYSRJkiRJkiSpJCIpcCYB\n35V2EEmSJEmSJKmsZWbZRb2qiaTAeT3wRBAEtwDzgaz8T4ZhuLg0gkmSJEmSJEnStkRS4KwJDAC+\n2mw8hpx7cNb8p6EkSZIkSZIkqTgiKXA+AIwGnqFwkyFJkiRJkiRJKjeRFDjrAA+FYTi3tMNIkiRJ\nkiRJUklEUuB8ELghCIIrwzBMK+1AkiRJkiRJUlmxyVDVE0mBcy9gT2BgEARLgIz8T4Zh2K00gkmS\nJEmSJEnStkRS4Hw99yFJkiRJkiRJFarEBc4wDJ8DCIKgLtAFyAJmhmGYUsrZJEmSJEmSJGmrSlzg\nDIKgNvAkcCoQC8QAyUEQPA9cE4ZheulGlCRJkiRJkqSi1YjgmJHAjsARQBOgGXA8cADwQOlFkyRJ\nkiRJkqSti+QenEcD+4dh+HO+sQ+DIFgHvA9cWSrJJEmSJEmSpFJmF/WqJ5IdnCuBxkWM1wTW/7M4\nkiRJkiRJklR8kezgHAI8FwTBUGACkA70zR0fHQTBbn9NDMNwQqmklCRJkiRJkqQiRFLgfC73zyeL\neO723AdANjm7OiVJkiRJkiSpTERS4Iwt9RSSJEmSJEmSFIESFzjDMMwECIKgDnAM0BSYGobh+FLO\nJkmSJEmSJJWqzKysio6gUlasAmcQBM2AF4Ddgc+BG4BPgPrAPKBLEARTgGPCMFxeJkklSZIkSZIk\naTPF7aL+KJAAnENOUfRb4Cdg+zAMBwDtgNXAE2URUpIkSZIkSZKKUtxL1A8DdgnDcFoQBBOAJcCw\nMAyTAcIwXBcEwWDguzLKWWnE1Ipl+0GX0WDn3clKTWXFu2+x4t2xRc5NaNeB7S+4nDqdu5C6ZDGL\nnn+KDVMmlnPi6qFGXCz7PHgHnY48kIxNKfz++PP8/sQLRc5tu9/u7Hbn9TTo2I6lP/3GV9fdzdrZ\n88o1b3UyI5zOiOH3MGfWLDp27sK1N95E0H2HbR43fOjdNG/RgnPOH1QOKauXxXNn8u6zD7FswVxa\ntO3AkRdcTetO3Yqcm5aawgejH2faj1+TnQ2Ju+zFoWdfQlxC7XJOXfUtmjODsSMfYsn8ObRs15Hj\nLryG7TtveV3eHvUok3/4BrKz6bXb3hx1zqWuSylKS0vnrsefZ/yEn0iIj2PgcYcz8PjDi5z75Q+/\n8shLb7Jg8TLatmrBFWedyL67DCjnxFVfWlo6dz4xOndN4jnnuMMYeNxhRc794sffePTF/zB/yTLa\ntWrOFWeeyL679C/nxNVDTFwsiXfeTIuD9yMzOYV5z73MvOdfKXJu84P2pds1l5HQqgXrp4ZMu/s+\nkqaG5Zy4+qgVF8dNP7/Da5fexqyvfyxyTtu+iZz61BDa9ApYPHkGYy6+hT9/m1LOSauPuTNDnn1o\nOAvmzqJth85ccPWNdOrWvci56enpvPbcU0z47GNSUlJI7Nufcy+/jibNmpdz6qotnD6dB+69h9mz\nZtKpcxeuv+nmYr1WGTbkLlq0aMG5F1xYDiklFUdxd3BuAhoChGG4DLgHWLfZnDbk7OKs0lqffQG1\nO3Zh1m03sPDZx2l54hk02Hn3QvNq1K5D59vuIeXPeUy/+kLW/fAtHW64jZr1t6uA1FXfHkNupFmf\nHow7/Ey+vPZOdrzxMjodeWCheY27d+GIN55mznuf8MZex7Ji4jSOefdFatVOqIDUVV9KSjI3XH0F\nffsN4LmXx9CzVy9uuPpKUlNStnrcqy+9wPvv/LecUlYvaakpvDLsJjr06MPFw0fStlsiLw+7ifTU\n1CLnfzD6cZbMmcHAW0dwzm0jWDhrOh++9FQ5p6760lJTeH7IYDol9uGqEc/SPkjk+aE3bnFd3h71\nKIvmzGTQnSMYdNeD/DlzGu+OfrKcU1dt9416hamz5/LCfbdy62Xn8uSrb/HJN4ULBOGc+Vw55GFO\nOHg/xj15Lycduh9XDX2YGXMXVEDqqu2+UWOYNmseLw7/N7ddOpAnXh3Lx9/+VGheOHcBVw55hOMP\n2Yf/PjGMEw/djyuHPuKalJHuN13Ddond+fG0C5h6+zA6XzGIFgftV2he3S6d6PPgUGY/OYpvDz+J\npOkzGDDqMWrExVVA6qqvVlwc5732KK16dN3inNjaCVz6/vPM/PIH7ul/BHO++5XL3h9NbEJ8OSat\nPlJTUhh209X06NOP4SNfpltiL4bddDWpqUWfF78xeiQ/f/slV946hKGPjyIzI4MHbruxnFNXbSkp\nyVx/1eX07T+A0a+8Rs/evbnuyiu2+VrllRdf4L23fa0iVcm70lYAACAASURBVDbFLXC+ArwcBMER\nAGEY/jsMw9kAQRC0CILgWuBl4OmyiVk5xMTF02T/g1n0/FOkzJ/D+p++Y/nb/6HpoUcVmtt43wPJ\nTE5m4TOPkbZsKUvffIXUxYuos4XdOIpcrdoJ7HDmCXx1wxBWTQ6Z+8Gn/ProKHoPOqPQ3J7nnsKS\n73/jp+FPsG7OfL67/QFS1yfR7aQjKyB51ffpxx+RkJDAxZdfSbv2HbjimuupU6cOn39adE+yTRs3\n8u/B1/Payy/RomXLck5bPUz69jNi4+I5+IwLadamHYedcxnxtesw+fsvipxfKzaOw8+7klYdu9Cq\nYxcG7Hco86dPKt/Q1cDvX39KbHwCh591Ec3btOPo8y4nPqEOf0z4vMj5sXFxHHPBlbTp2JU2Hbuy\n4/6HMXea61JaklNSGfvRF9x88UC6d2rP/rv+i3NPPJIx735UaO77X0xgl76JnHbUQbRt1YJTjzyI\nnXv34MOvvq+A5FVXckoqb338BTdffFbempx3whGMeffjQnP/WpPTjzyItq2ac9oRB7Jznx787+sf\nKiB51VYjIYHtTzyaaXfdR9L0GSwf/wVzn3mRdmedXGhu0z12IWnGbJa88z+SFy5mxv2PEt+sCfW6\ndqqA5FVby+6dueH7cTTp2Har83Y85UjSNiUzbvC9LJsxh/9cfRcpSRvof2LRu9X1z3z72cfExSdw\nxoWX06Zde8657Bpq16nD9198WuT8Lz96n1PPv4QdevWlTbsOXHjdzcwOp7J00cJyTl51jf/oI+IT\nanPpFVfSvkMHrrr2eurUrcNn4z8pcv7GjRu5+YbrePWlF32tIlVCxS1w3khOAfNfRTy3E3ARObs6\n7y2lXJVS7Q6doEZNNoZT88Y2TJtMna6FLyuol9ib9T8VvGJ/5k1XkvT7z2Wes7pp2rM7NWrVZOmP\nv+eNLfnuF1oM6F1o7nYd2rLslz8KjK2aOoOWO/Yr85zV0dQpk+nVp+DXtlefPkyeVPStGhYvXkRG\nejrPvfwqrVq3KY+I1c7CmdNo371XgbF2QU/+zPd9Lb8jzruCdkEiAGuWL2Xi15/SMdH/L6Vtwcxp\ndNih4Lp02KEn88OiLxM85oKr6NC9JwCrly/ht6/G06VX3zLPWV2Ec+aTkZlJ3x3+3vk0IDFg4vTZ\nheYee+DeXHPuqYXGkzZuKtOM1c30uQvI3GxN+m9xTfbi2nMKF9g2uCalbrsduhFTsxZrf/v75/qa\nn3+nQZ9eheamr11Hva6dadi/DwDbn3gMGUkb2DTfYk1p67r3LoSffst9ux4HMTFbnNdh537M/qbg\na5PZ3/5Cp129nUNZmDltCt179SkwFvTsQzi18C8os7OzueKWu+g9YKd8gzl/bNq4oSxjVitTJk+m\nT9+C50+9+vTd4muVJbmvVUa/OobWvlaJeplZ2T6KeESzYt2DMwzDLODOLTz3LvBuaYaqrGIbNSYz\naT1kZeWNZaxbS43YWGrWq0/mhqS88bjmLdk0M2T7C6+gwY67kLZsGYteepZNWygiKHJ1WjYjZdVa\nsjMz88Y2LV9FzYR4Eho1JGXN2gLjdVu1KHB8/TatSFm9FpW+VStX0rFz5wJjjRs3Ye6cwi9IAbp0\n7ca9Ix4uj2jVVtKa1bRo16HAWL0GjVi+cN5Wjxv7+L38/tXHNGzein1OOLPsAlZTSWtW0bJdxwJj\n9Rs0Zumfc7d63OuPDuPXLz6iUfNWHHDi2WUZsVpZsXotjbarT62aNfPGmjRqQGp6GmvXJ9Fwu/p5\n4x3bti5w7Mx5f/L971M45YjCt0lR5FasXkvDzdakae6arFmfRKP8a7L9ZmsyfyHf/z6FU484oNzy\nVhfxzZqStqbgOVjaylXUjI8jtmED0tf+fUerJe9/RPP992bnN54nOzOT7Kwsfjn/CjI2WKwpbV+P\nfLVY8xq0asbiyTMKjK1ftpLWiVu+rF2RW7N6Je06FDwvbtCoMQvnzSk0NyYmhl79dyww9v5br7Nd\nw0a079ylTHNWJ6tWrqBTl4Jfz8aNGzN3TuE1gZzXKvc99Eh5RJMUgeLu4CwgCIJ9giAYEwTBb0EQ\n/BIEweggCHbc9pHRrUZ8PFnp6QXGstPTAIiJjS0wXrN2bZofcxLpq1cx++5/s2HaJDrfeg+xjZuU\nW97qolbt2mSmpRUY++vtmvEF7+s0a9wHdDnmENoftDcxNWrQ/dRjaN6/JzXiCq6fSkdKSgpxsQXX\nIDYulvTN/h+p/KSnpVBzszWpGRtLxjbWZM9jT2PQ0Cdo2LQ5Lw31/k+lLS01NaJ12e+407js3qdo\n1Kw5o+6+viwjVivJqanEbfZz/a+307ayJmvWreeqIQ8zoGfAfrsWddGLIpVS5Jrk/J4+PT1ji8et\nWZfElX+tiY2fSl2N2glkbXYO9tfbm99bM65hQ+KaNWHqbcP47rgzWTzuPXrddyexjRqWW14VFFen\nNhmpBdcvIzWNWvHeF7UspKWkELvZa47Y2LhinRf/9M2XvPfmq5x+waXUrFncPsHalpTUFGI3O/+K\ni4sjbbPva5KiQ4m/OwZBMBAYCfwHeBGoSc6l618HQXBKGIZV9m67WWlp1Njs5Dom9xti9maNILIz\nM0meO4tl/8n5DeqS+XOo36c/jfben+Xj3iyfwNVEZmoqNTc7if7r7fTk5ALjCz79hp+GP86hLz9G\nTM0aLPr6B6a/9l/i8u38UORefuF5Xn7heSDnN889EnuSll7wBCE9LZ34eJs6lZcvx73KV2Nzvg/F\nxMSwfZcdyNxsTTLT04mN33pDgWZt2gFw0tW3cf+gE5g39Q869Oiz1WO0ZZ+99Qqf/V9ul+GYGNp1\nK3pd4rbxf6X59u0BOOPaO7j7vOOZM+UPOiW6Lv9UfFxcoULmX28nbOH/yso1azn/pnuIiYGHbrmq\nzDNWN/GxsUWsSU5hM2ELxZiVa9Zx3s3DiImJ4aGbryjzjNVRVmpaoULmX29nbnYO1u3GK0maPpM/\nX/s/AKbcMoQ9Ph5LmxOOYt6zL5VPYBWQnpJaqJhZKz6OtE1bb7Ci4hn36guMffUFIOccrMsOiaSn\nFfw+lp6eRvw2zsF+/OYLHr7r3xx2/Cnse6h9A/6Jl0Y/x0ujc16rEBNDYmJP0jc7/0pLSyMhwdcq\nUjSK5Nc/twOXhGH4XP7BIAguAoYBVbbAmb56VU4X9JgYyM65N0Fsw0ZkpaWRuWljwblrVpOy6M8C\nY6mLFxHbpFm55a0uNi5eRkKThgXWpW6LpmQkp5C2LqnQ/F8efIbfHn2euO3qk7J6DQePfoikBYvK\nO3aVdMzxJ7L/gQflvf3Ki6NZvWpVgTmrVq2iSdOm5R2t2trpoKPptdu+eW9/PW4MG9auLjBnw9rV\n1G9YeHd5ZkYG03+ZQJfeOxJfuzaQczl77foN2Ji0rtB8Fd+uhxxNn93/7jL8+dhXSVpTcF3Wr11N\n/UaNCx2bmZHB1J8m0K3vv4ivXQeAeg0bUaf+dmxc77qUhhZNGrFmfRJZWVnUqJFzscvK1euIj4tj\nu3p1C81ftnI159w4hBo1a/DCfbcWuIRdpaN508as3XxN1qwlYStrMnDwPdSsEcOLw/9d4BJ2lZ7U\nZcuJa1TwHCy+WRMyU1LJSCp46fl2iTsw/8UxBcaSps+gdutW5ZZXBa1dtIztWhZ8bdKgZTPWLVle\nQYmqloOOPp7d9v37diXjxrzI2tUFz4vXrl5FwyZbPi/+9rOPeWzYHRx89AmcdfGVZZa1ujj2hJPY\n/8CD895++cXRrFpZcE1Wr1pFU1+rSFEpkkvUmwATihj/HNh6q74olzxvNtmZmdTptkPeWN0derJp\n9oxCczfNmJ7TlCifhDZtSVuxrMxzVjcrJk0jKz2Dljv+fYPoVrv+i+W/Ti40t+vxh7HHPTeRlZFB\nyuo11EyIp82eO7PwKzurlob69evTus32eY/EXr2ZPLHgTbonT/ydxJ6Fmw+obNSuW4/GLVrnPdoG\niSzYrHHN/HAybfN9X/tLTEwMYx+/lxm//t0wbe2KZSQnraNZm/Zlnr0qq123Pk1ats57tA8Smbf5\nukyfRPtuiYWOjYmJ4Y1H72HaL3936V6zYhmbktbTfPt2ZZ69OujeuQOxNWvxx/RZeWO/TJ5Or26d\nC81NTkll0L/vpVatmrx032009XLbMrFDp/bU2mxNfp4c0rNb4Q7cySmpXHDr8Nw1uZWmjRqUZ9Rq\nZf3UkKyMDBr2+7uxY6Md+7NuUuEGaanLV1CvS8H1qtuxA8kLF5d1TG3B3O9/o/NuBW/d0Hn3Acz9\n/rcKSlS11K1Xnxat2+Q9gsRehFMKnheHkyfSbYeeRR4/6ZcfeWzYHRx23Mmcc9k15RG5yqtfvz5t\ntt8+79GzV28mTSzYgHbiH7+T2MvXKtVBRTfzqayPaBZJgfNp4L4gCBr9NRAEQQIwGHiqtIJVRtlp\naaz5cjxtL7yc2p270mCnXWl+1PGseG8cALUaNMy7F+fKj9+jdvuOtDjxdOJatKLlKWcR17wla778\nrCI/hSopMyWV6a+/zT4P3Unzfj3pePj+9LvsHP546kUAajdrkncvzrWz5pF4zsl0OuIAGnRqz0Gj\nRpD052IWjP+qIj+FKmvf/Q5gQ1ISjz74APPmzuGREfeTkpLCfgfk/DY7NTW10A5Pla3EXfYmZeMG\nPnjhCZYvnM/7zz9GemoqPXfN2eWZnpaWt8OzRs2a7HjgUXzy2nPMnz6JRbND3nz4brrvuEfepdEq\nHb1224fkjRt45/nHWfbnPN4e9Shpqan02f2vdUklKd+67HLw0fzvlWeZO20SC2eHvDriThJ33oMW\nbTtU4GdRdSTEx3HUAXty56OjmDxjNuMn/MQLY9/nzGMPBXJ2Dqbm3p9r5Ov/ZeHS5dxz7UVkZWex\ncs1aVq5Za8fuUpYQH8dR++/BHY89z+QZcxg/4WdeGPsBZx1zCJBzOfrfa/I2i5auYNg1F5KVnc3K\nNetYuWada1IGslJTWTzuPRLvvpntevWg+YH70OG8M5k/OmenZlyTxnmXrC98Yyzbn3wcrY4+jNrt\ntqfb9VeQ0Loli8ZWi16llUb95k2plXtJ9K//9wG1G27HiQ/eSsvunTnp4duJq1ObX958r4JTVk27\n7L0fGzck8cITD7Jw/lyef2wEqakp7LpvTgO0tLTUvB2emZmZPHn/EBL7DuCok89g7epVeY+MjC3f\nd1gls+/+B7BhQxKPjMh5rfLQA/eRkpLC/gfkXJHmaxUpukRS4NwROAhYGATBr0EQ/AAsAc4Gjg2C\nYMZfj9IMWlksemEkm2bPossdw2lz3qUsee1F1v+Us7spcdRrNNxtbwDSV65g9t230OBfu9D9oafZ\nrv9OzBn6bzI2uzRUpeObm4ex4vfJHPPOi+x13638MPQR5n7wKQDnzviGLrkvSlf8MZUvr7mD3YcO\n5qTP/4/srEzeO+nCioxepdWpW5fhDz7CH7//ygVnn8G0KZO5/+HHiM+9r81nn3zMsYcfXOSxMeUZ\ntBqJr12HM24axvypf/D04ItYNGs6Z91yb949OCdP+Iz7Bp2YN/+AU88jcec9eePBO3nhrmtp1qYd\nx106uKLiV1kJtetw7i3DmDPlDx65/kIWzJzGebfel7cuf3zzOXefd3ze/ENOP59eu+7FK/ffzsjb\nrqH59u05+XLXpTTdOOhMenTtxDmDh3LPky9w+Vknsn9u46C9T7uED7/K2UE7/tsfSU1L45SrbmWf\n0y/Jewwb6T0FS9vgQWeQ2LUjAwcPZehTL3LFmSfkrclep1/K/3Kvxvhkwk+kpKVx8tW3sfcZl+Y9\nho18pSLjV1nTh45g3eRp7PTySHa4/UZmPvQky8d/AcC+339Cy8NzCgVLP/iEaXfcS+eLz2O3d8bQ\nsF9vfjp9EOlr1lZg+mogu+BunOFLfmTASYcDkLphI08ccS5d9tqJm35+lw479eGxQweSnpJa1HvS\nP1S7Tl1uGvYgU//4ncEXnc2s6VO45d6H8+5NP+GzTxh0Ys7azAmnsWrFcib9+hODTjw853HCYQw6\n8XBmbLYLVJGrW7cu9z/0CL//9ivnnnk6U6dM5sFHH897rfLpJx9x1KEHFX1wjK9WpMomJju7ZFtQ\ngyA4r7hzN79P5zZk/3580YUOlb++b30EwOMNggpOovwuWxeyfN3GbU9UuWneIOfeb29O9BK7yuSk\n3q15Z+rSio6hfI7q0RKAzLm/VnAS5VezY3+y5vxc0TGUT41OOUXbDzv3q+Akyu+Q2b9xUUyHio6h\nfJ7OngfAxMXef7qy6N0655Ygq5LcMV+ZNKlfB9w/UsjJL/wY3ddjl5E3Bu4Utf9WStxkqIRFS0mS\nJEmSJEkqMyUucAZBEABDgO5A/ObPh2HYrRRySZIkSZIkSdI2lbjACbwGpAEjgeTSjSNJkiRJkiSV\nnYwo7xiuwiIpcAbAjmEYTi3tMJIkSZIkSZJUEpF0Uf8I2LW0g0iSJEmSJElSSUWyg/Mq4LcgCE4F\n5gFZ+Z8Mw3BQKeSSJEmSJEmSpG2KpMD5NJANrKWIJkOSJEmSJEmSVF4iKXDuA+wZhuEvpZxFkiRJ\nkiRJKlOZNhmqciK5B+cUoF5pB5EkSZIkSZKkkopkB+fjwMtBEDwHzAUy8j8ZhuGY0ggmSZIkSZIk\nSdsSSYFzSO6f5xfxXDZggVOSJEmSJElSuShxgTMMw7ZlEUSSJEmSJEmSSiqSHZwEQVAfOA3oCgwD\ndgKmhmE4vxSzSZIkSZIkSaXKJkNVT4mbDAVB0AOYCVwMXAE0AE4GJgVBsEfpxpMkSZIkSZKkLYuk\ni/qjwHNhGPYFUgHCMBwIPAOMKL1okiRJkiRJkrR1kRQ4dwJGFzH+JNDzn8WRJEmSJEmSpOKLpMC5\nCuhSxPguwPJ/FkeSJEmSJEmSii+SAuf9wKggCC7MPX6vIAhuBZ4CHi7NcJIkSZIkSZK0NcXqoh4E\nwV7AhDAMM8IwfDIIgiXA9UAa8BgQAheHYTim7KJKkiRJkiRJ/4xd1KueYhU4gc+BVuRegh6G4Thg\nXFmFkiRJkiRJkqTiKO4l6jFlmkKSJEmSJEmSIlCSe3C6f1eSJEmSJElSpVLcS9QBfg6CIHNbk8Iw\n7PQP8kiSJEmSJElSsZWkwDkCWFdWQSRJkiRJkqSyZpOhqqe4Bc5s4PUwDJeXZRhJkiRJkiRJKgmb\nDEmSJEmSJEmKWsUtcL4IJJdlEEmSJEmSJEkqqWJdoh6G4TllHUSSJEmSJEmSSqq4OzglSZIkSZIk\nqdIpSRd1SZIkSZIkKarZRb3qcQenJEmSJEmSpKhlgVOSJEmSJElS1LLAKUmSJEmSJClqWeCUJEmS\nJEmSFLVsMiRJkiRJkqRqI9smQ1WOOzglSZIkSZIkRS0LnJIkSZIkSZKilgVOSZIkSZIkSVHLAqck\nSZIkSZKkqGWBU5IkSZIkSVLUsou6JEmSJEmSqo0su6hXOe7glCRJkiRJkhS1LHBKkiRJkiRJiloW\nOCVJkiRJkiRFLQuckiRJkiRJkqKWTYYkSZIkSZJUbWRn22SoqnEHpyRJkiRJkqSoZYFTkiRJkiRJ\nUtSywClJkiRJkiQpalnglCRJkiRJkhS1LHBKkiRJkiRJilp2UZckSZIkSVK1kZ1lF/Wqxh2ckiRJ\nkiRJkqKWBU5JkiRJkiRJUcsCpyRJkiRJkqSoZYFTkiRJkiRJUtSyyZAkSZIkSZKqjSybDFU5MdnZ\nlWZRK00QSZIkSZKkKiKmogNUNnve/7k1qCJ8ff2+UftvxUvUJUmSJEmSJEWtSnWJetra5RUdQbni\nGjYH4PdFays4ifLr26Yhi+68sKJjKJ82t48EIHX86ApOovziDziHlA+equgYyifhsIsBSElOruAk\nyi+hdm3XpJJJqF0bgKXrNlZwEuXXskFdJi5eV9ExlE/v1g0AuCimQ4Xm0N+ezp4HQOb0rys2iAqo\n2X3Pio4glQt3cEqSJEmSJEmKWpVqB6ckSZIkSZJUlrKzKjqBSps7OCVJkiRJkiRFLQuckiRJkiRJ\nkqKWBU5JkiRJkiRJUcsCpyRJkiRJkqSoZYFTkiRJkiRJUtSyi7okSZIkSZKqjezs7IqOoFLmDk5J\nkiRJkiRJUcsCpyRJkiRJkqSoZYFTkiRJkiRJUtSywClJkiRJkiQpatlkSJIkSZIkSdVGVpZNhqoa\nd3BKkiRJkiRJiloWOCVJkiRJkiRFLQuckiRJkiRJkqKWBU5JkiRJkiRJUcsCpyRJkiRJkqSoZRd1\nSZIkSZIkVRvZdlGvctzBKUmSJEmSJClqWeCUJEmSJEmSFLUscEqSJEmSJEmKWhY4JUmSJEmSJEUt\nmwxJkiRJkiSp2rDJUNXjDk5JkiRJkiRJUcsCpyRJkiRJkqSoZYFTkiRJkiRJUtSywClJkiRJkiQp\nalnglCRJkiRJkhS17KIuSZIkSZKkaiMr2y7qVY07OCVJkiRJkiRFrYgKnEEQtCvtIJIkSZIkSZJU\nUpFeoj47CIIfgdeBN8MwXFaKmSRJkiRJkiSpWCK9RL0t8BpwIrAgCIJPgyC4IAiCRqUXTZIkSZIk\nSZK2LqIdnGEYLgUeBx4PgqAVcDxwHPBAEATfAGOAt8IwTCm1pJIkSZIkSdI/lJ1lk6GqpjSaDDXK\nfTQFYoF04HLgzyAIji6F9y9JkiRJkiRJRYpoB2cQBD2BE8i5RL0r8DnwBDA2DMP1uXNuB0YBb5dO\nVEmSJEmSJEkqKNImQxOBCcBT5DQZWl7EnK+AzpEGkyRJkiRJkqRtibTA2TEMw/lbmxCG4efk7OyU\nJEmSJEmSpDIRaYFzQRAERwCJQM3csRggHugXhuGRpRFOkiRJkiRJkrYm0gLnw8CF5Fyq3h/4EegE\nNAOeKZ1okiRJkiRJUumyi3rVE2kX9VOBM8Iw3AmYDZwPtAXeJGcnpyRJkiRJkiSVuUgLnA3I2bUJ\nObs4dwrDMB0YChxRGsEkSZIkSZIkaVsiLXDOBfrk/n0qsFPu37PJKX5KkiRJkiRJUpmL9B6cDwFj\ngiA4F3gD+DkIglRgD2BCaYWTJEmSJEmSpK2JqMAZhuHIIAhmAuvDMJwaBMEJwAXAH8CtpRlQkiRJ\nkiRJKi1ZNhmqciLdwUkYhp/l+/sHwAelkkiSJEmSJEmSiqnYBc4gCD4h5x6b2xSG4UERJ5IkSZIk\nSZKkYipJk6HvgR9yH7OAfYEk4DPgQ2AZsCc5XdUlSZIkSZIkqcwVewdnGIZ599YMguBj4KowDJ/I\nPycIgi+Ac0stnSRJkiRJkiRtRUl2cOa3O/BJEePfAn0jjyNJkiRJkiRJxRdpgfM34IYgCBL+GgiC\noC5wOzmXskuSJEmSJEmVTnZ2to8iHtEs0i7qFwHvA4uDIAiBGKA7sAQ4rJSySZIkSZIkSdJWRVTg\nDMNwchAE3YCDgR65w5OBj8IwTC+tcJIkSZIkSZK0NZFeok4YhqnkdFFfD2wE0oDo3s8qSZIkSZIk\nKapEtIMzCII2wDigJzATqAl0BmYHQXBQGIaLSy9i5ZKWlsaQ+x5k/BdfUjshgbNOO5mzTztlq8f8\n+vtEbrlrKP8b+0Y5paye5s4MGfXwcP6cO5u2HTpz3lU30Klb9yLnZqSn8/pzTzHh809ISUmhR5/+\nnHv5tTRu1rycU1dhNWvR8PBTqd29H9npaWz4bjwbvh9f5NTGJ19MQtA751ckMUA2rHrtCVJnTS7X\nyNVBWnoGQ9/4mPG/h9SOi+Ws/XfirP13KnLu+z9O4en/fcuyNevZoW1Lrj9hf3q2b1XOiau+tIwM\nhv7f53w6cRYJcbU4a58BnLVP/yLnvv/LdEZ+9APL1ibRffvmXH/MXvRs17KcE1cPaWlpDL3nHj79\n9FMSEhI466yzOOvMM4ucO236dIYOHcrMmTPp0qUL/77lFnbYYYdyTlz1uSaV14xwOg8Nv4c5s2bR\nsXMXrrnxJrp13/bX+76hd9O8RQsGnj+oHFJWP3Nnhjz70HAWzJ1F2w6dueDqG7d4bpyens5rzz3F\nhM8+JiUlhcS+/Tn38uto4rlxqaoVF8dNP7/Da5fexqyvfyxyTtu+iZz61BDa9ApYPHkGYy6+hT9/\nm1LOSauHtPR07nr6VcZ/9ysJ8XEMPOYgBh59UJFzv/x5Io+8Mo4FS5bTtlVzrjjtaPbdyf7KUmUS\n6Q7Ox4E1QNswDPuEYdgTaAcsBh4urXCV0QOPPsG0cAajn3yMW66/hqdHvcD4z7/c4vwZs2Zz7c23\nRv3NWiu71JQUht98DT369Ofep1+ia4+eDL/5GtJSU4qc/+boZ/h5wldc8e+7ufuxZ8nMyGDE7YPL\nOXXV1uCgE4ht2Y4VLz7I2g9eo/7eR5DQvV+Rc2ObtWLNW8+xdMQNLH3gBpaOuIHUOVPLOXH1MGLc\nZ0z7cynPX3Uat5x8EE9/8C3jfw8Lzft11p/cMeZ/XHz4Hoy79Xx6d2zNJU+8SXKadyEpbSPe/ppp\nC5fz3KUncMvx+zHyo+8ZP3FWoXm/zlnEnW98wsWH7MzYwWfSp0MrLn3mv65JGRnx4INMmzaN50aN\n4pabb2bkyJGM//TTQvOSk5O5/PLLGTBgAG+8/jp9evfmsssvJyWl6J8/ipxrUjmlpCQz+Oor6NNv\nAM++PIbEXr248eorSd3G13vMSy/wwTv/LaeU1U9qSgrDbrqaHn36MXzky3RL7MWwm64mdQvnxm+M\nHsnP337JlbcOYejjo8jMyOCB224s59RVW624OM577VFa9ei6xTmxtRO49P3nmfnlD9zT/wjmfPcr\nl70/mtiE+HJMWn3cN/o/TJ09nxeGXs+tF53Ok6+/yyff/VJoXjjvT66890lOOHBPxj1yBycdtBdX\nDX+aGfMWVkBqlZbsLB9FPaJZpAXOA4HrwjBc9ddAGIYrgOuAon/lUQUkp6Qw7p33GXzNlQTdurDf\n3ntyzpmn8dp/xhY5/82xb3PWBZfQtEmTck5a/Uz4jnjcmAAAIABJREFU/GPi4hM4fdBltG7XnoGX\nXUPtOnX47svPipz/5cfvc8p5F9O9V1/atOvAhdfdzOxwKksX+UOqNMTUiqVOv91Z9+EbZCxbSEr4\nB0kTPqLeTvsUnlyjJjUbNiVt8XyyNiXlPciK8u+ulVByWjrjJkzkxhMPJNi+Bfv26cbAA3fmtS8L\nn8itXL+RCw/dncP+1YM2TRpy0WG7s25TMnOWrKyA5FVXclo6//1hCoOP3YegTTP27dWZgfv9i9e/\n/r3Q3FXrN3HhQTtzaP/utGncgAsP2pl1m1KYs3R1BSSv2pKTk/nvf//L4BtvJAgC9t13XwaefTav\nv/56obkffvQRCQkJXH3VVXTo0IEbbriBOnXq8Mknn1RA8qrLNam8Pv045+t90eVX0q59By6/5nrq\n1KnD558WfdXGpo0buW3w9bz+8ku0aOkO9LLy7Wc558ZnXHg5bdq155zcc+Pvvyj8SwGALz96n1PP\nv4QdPDcuEy27d+aG78fRpGPbrc7b8ZQjSduUzLjB97Jsxhz+c/VdpCRtoP+Jh5dT0uojOTWVsZ98\nw80XnEr3jm3Zf+d+nHvswYx5//NCc9//6kd26b0Dpx2+H21bNuPUw/Zl514BH377cwUkl7QlkRY4\n1wANihhvCGREHqdyC2fOIiMzkz69EvPG+vXpxaQpRe80m/DDj9xzx78545QTyytitTVz2hS69+pT\nYKxbYm9mTplUaG52djaX33wXvQbsVGAMYNPGDWUbtJqIbdmWmBo1SPtzTt5Y2oJZxLbpWGhuraYt\nIDuLzDUWzsrajIXLycjKok/HNnlj/Ttvz6R5SwrNPah/d84/eFcAUtMzeOnTn2hSvy6dWjUtt7zV\nwYzFK8jIyqJ3h78v/e/XsTWTFiwtNPfAvl0574Cc71up6Rm8/MWvNKlXh04tG5db3upixowZZGRk\n0Lt377yxfv36MWlS4Z8pkyZNol/fgpeo9e3blz8mTizznNWJa1J5TZsymV59Cl6h0bNPH6ZMKvrr\nvWTxItLT03n25Vdp2bpNkXP0zxV1bhz07EM4tehz4ytuuYve+c6N/+qs4Llx6ei69y6En37Lfbse\nBzExW5zXYed+zP6mYNFs9re/0GnXom9do8iFcxeSkZVJ3+6d88YG9OjKxBlzCs09dr/dueas4wuN\nJ23cVKYZJZVMRPfgBF4Hng2C4CLgr5uH7AI8CfynNIJVRitXrqJRwwbUqvX3l61J48akpqWxdt06\nGjYoWPN9ePhQAN5+/3/lmrM6WrtqFW07diow1rBRE/6cV/gHVExMDD37/6vA2P/eeoPtGjakfecu\nZZqzuqhRrwFZmzYU2OOetWE9MbViqVG7LlnJG/PGY5u2Iis1hUbHnUt8h25krlvD+i/eJXW29xoq\nbSvWb6BRvTrUqvn377aa1K9LWnoGazck07Be7ULH/BDO46LHc+4fPGzgUdSOiy23vNXBivWbaFS3\n9mZrUoe09EzWbkymYd0i1mTmn1z8dM6VA/eccYhrUgZWrFxJo0aNCv68b9KEtLQ01q5dS8OGDfPG\nV65cSZfOnQsc36RJE2bPnl1ueasD16TyWrVyJR03+3o3btyEuXOK/np37tqNYSOq9B2tKoU1q1fS\nrkPBdWnQqDELt3Bu3Kv/jgXG3n/rdbZr2Mhz41Ly9chXizWvQatmLJ48o8DY+mUraZ245cvaFZkV\na9bSqH49atWsmTfWpOF2pKans3b9BhpuVy9vvOP2BXebz1ywiO8nTueUQ/ctt7ySti3SHZy3Ar8A\nnwEbch8fAV8B15ZOtMonOSWFuNi4AmNxuS8s07wHWoVKTU2h1mZrUysuloz0tG0e+9O3X/Lef17l\n1PMvpWbNSGv+yi8mNo7sjIKbubMzc9/e7Gtcq2lLYmJjSZk1mZWvPELKrMk0OfVSYltu/RIelVxK\nWjqxtWoWGPvr7bSMojffd23dnDcGn8P/s3ff8VVW9wPHPwEymKIMwYkMD7LV1q1VFKwLW1frrOKo\nrXXUilpX3XtbV91Ydyt1/hzgXlWRjRxQQJzYICAoGZD8/njCyMIEktzc3M/79bovcs89N/mSJ/c+\n536fc873j/vszHkjn2XS7CZbQy4lVn9MllX5nF5dO/DoXw7jj7/cnvMffolJn1We7am1U1BQQHZ2\n+cRxdk5yjikqKqrUNyenwtggO7tSP60dj0njVVjF+Dg7J5viYsfGqVRUUEB2hQtg2dk5NTouH7z1\nOs8+/hCHH+/YuKHltGrJ0sLy71VLC4tokZtTzTO0ppYUFpFT4bySk538vRcVV78odf73izjtytvZ\nuk8vBm9rkSGpMVmjM1aMsQA4IoRwKhCAAuCTGOP3dRlcY5Obk0NRhYTZ8sRmnhs/N6hRD9/Pfx56\nAEhWefTcol+lZObSomJy8vJW+30+eOt1brrkPPY64Dfsttd+9RZvpildWkxWi/JvL1llA+TSCsdp\n0RvPsfi/Yygt2/R+0bdfkd11E1pvvTMLnnu4YQLOEDktWlBcIWm2/H5eNbMA12vbivXatmLzDTsz\nYdaXPPHmOPp326DeY80Uuas9JlWfotdr04r12rRi8w06MWH21zzxzkT6b+o+dnUpN6dyEqC4LDmW\nV+G8kpOTUylxVlRcTMufOP+odjwmjcc/77+Xf95/L5DM/Nuib79K4+PiomLycv19N6RRD93Pkw/d\nDyTHpecWfSmuMAGjuLiI3NzVf2Z5/63XuPHi89j7wN86Nk6B4oLCSsnMFrk5FP1okbS6lpudTVGF\n88ryxGZeNQnl/AULOe6C68nKghvOPLHeY1T9KimxEHRTU+MEZwhhGdA1xvjt8rayIkPv1EdgjVHn\nzp2Yv2AhJSUlNGuWTH6dN+87cnNzade2bYqjyyxDhx3IDrsOWXH/qUceYMF388r1WTB/HuuuV/1+\ngW+/8hK3XnkRQ4cdyJF/OLXeYs1EJYsW0KxVGyCL5Zs4NWuzDqVLiygtXFKpf2mFip5L87+hRceu\nlfpp7azfvi3zF/9ISUkpzZol+z/lf7+Y3OwWtGtV/oPolM++plmzLLbYeGXirEfXjsz8pvzrTGun\nc/vWzP9hSfljsuiH5Ji0rHBM5sxNjslGnVe0de+yHrPmzm/QmDNB586dmT9/frnzfX5+fnK+b9eu\nUt/8eeVfF/Py8+nYqVODxZsJPCaNx/4HHszgIStrij70wH18V+H3/d28eazX0T2bG9LQ/Q9kh91W\njo1HPVzF2Pi7ebTvsPqx8S1XXMie+x/EUY6NU2LBl3Np16X8e9U6XTqx8Otvq3mG1tT6HdZl/qLF\n5c8r8xeSm5NDuzatKvWfO28+x5x3Lc2aNeP+y0aUW8IuqXGozRL16ndDzhC9e/Uiu0ULJk5euTfg\n2PET6LdF7xRGlZlat2nL+htsuOLWq09/plcoKBQnT6BXn35VPn/SRx9w65UXsdevD+HoP53eECFn\nlKJvPqd02TJyNlpZVCh3054Uf/lZpb7th/2O9sOOLNeWvf5GLJ3nstu6FjbqTIvmzZk4+8sVbR99\n+gX9Nq2cTH7ynYnc9NTr5dqmzvmG7l061HucmSRs0JkWzZsx8bOVhZ4+mvkVfTdZv1LfUf+dzM3P\nvV2u7ePPv2Wz9det9zgzTQiBFi1aMHGVojQfjRtH3759K/Ud0L8/EyZMKNc2fvx4BvTvX+9xZhKP\nSePRtm1bNthwoxW3vv0HMKVCAadJE8fTt5+/74ZUcWwc+vYnTil/XOLkiWy+RTVj47Hvc8sVF7L3\nAb/hGMfGKTPrvXH02GHrcm09dtyaWe+NS1FETVfvzTYmu3lzJsSV+9KOnTqD/j27Veq7pLCQEy66\nkRYtmjPy8jPp2L6qesuSUq22e3Bm9BzevLxc9tt7Ty6+6lqmfDyNMa+/wciHH1tRJT1/3ncUFham\nOMrMtN0vBvPD4kU8cOsNfPHZLO7/+3UUFhSy/a67A1BUVLjiKnbJsmXccfWl9B24Ffv95ggWfDdv\nxW1pNfsQqpaWFvPjxPdov+/hZHfdlLwwkDbbD2Hxf8cA0Kx12xV7cRZMn0Cr/tvScsC2NF+3I213\n2YecTXrww39fSeX/oEnKy8lmv236cckjLzLls695ZcJ0Ro55nyN2S4puzfv+BwrLluYctNNAPpgx\nh4df+5A5387n1mffZMpn33DEbj9f3Y9QLeXltGC/n23BpU+8wpQ5c3ll0ic8+OpYjtglqUg8b9HK\nY3Lg9v35YMYXPPzGeOb8bwG3/d+7TPl8LkfsYmXVupaXl8d+++3HpZddxpQpU3jllVd4cORIjjj8\ncADmzZu34nw/ZMgQFi1axDXXXMPMmTO56qqrWFJQwNChQ1f3I1RLHpPGa9fBe7B40SL+fv21zJ41\nk5uvu4bCggJ22yOZTVhYWFhphqfq3/Kx8f23Xs8Xn83i3luuo7CwgO132wMoPzZetmwZt11zKX0H\nbc0wx8YNrm3njrQo2zrgo389T8v27Tj4+vPp0rsHh9z4N3JatWTs48+mOMqmJy83h2G7bc9Ftz/I\n5BmzGf3eOO5/6iWOHJa8RvIXLKSwbJuHOx9/ji/m5nP5KcMpKS0hf8FC8hcsZPGPlVemSUqdrNLS\nmuUsQwglwGPAT76KY4zD1yCW0qIFjX/qfUFBIZdefR2jX32dNm3acMyRh3L4IQcBMGC7Xbj0gnMY\ntvcvyz3nqef+j9vvvo8XRj2eipDXSE77ZAnk+C8XpDiSmvs0fsxd11/BV59/xibde3L8n89m0x5J\nxcHXX3yO26+5lEdHv8uMjydz/snHl39yaSlkZXHBdbfRZ+CWKYi+ZgZt2J4vL/p9qsOomRbZtN/7\nMFr22ZKSgiUsfuclfnj/VQA2uOB25v/nAZZMfA+AVoN2oM2Oe9J8nfVY+u1XLHzxcYo+T49qtxv+\n7U4ACkffl+JIaqagqJjLHnuJ0eMjbfJyOWbIthy2a5LgHPinK7nkyH0Ytm0y6+bNyZ9y09OvMed/\nC+jZtSNnHzyEAZulx/6buXscQ8Hzt6c6jBopKFrKZf9+hTETPqFNyxyO3u1nHLZLsmn9oNNv5JJD\nh7Lfz/sA8ObUWdz83NvMyV9Azy4dOOuAXRlQxQzcxihv7z8AULAkPT4MFBQUcNnllzNmzBjatGnD\n0UcfzWGHHgrAoC235JKLL2a//ZL96aZMmcIll17KrFmz2HzzzTn/vPPYfPPNUxl+jeW1bOkxaWTy\nWrYE4JuFP6Q4kpqbNnUq1115KXNmz6Z7z16c8ddz6dEr+X2/8OwzXHXpRbz63oeVnnfaH05g0NY/\n4+jjTmjokGutyzqtmfjVwlSHUSufxqnced2VfPX5bDbp3pPfn/7XFWPj1154ltuuuZTHx7zHjKmT\nOffk48o/uWxsfOH1t9FnYOO8kDZgg2QW3YlZ3VIaR23dtvRTrt/tUD558/3k/rKZPHD0Gfz3wScB\n2GTr/hx+5+V06d2DLydO46Hfn8OXk6alMuQau6N0NgDLpr2Z2kBqqKCwiIvv+Ccvv/sRbVu1ZPgB\nv+SIfZMJMn1/dTyXn3IM+w/egX1POo/ZX82t9Pz9d9uBy045pqHDrrXmvXcGV+RW0v/M5zJ6Al91\nJl29T9r+rdQ2wfk4NUtwrsmrPC0SnJkiHROcmSCtEpwZIt0SnJkinRKcmSLdEpyZIp0SnJkiHROc\nmSAdE5xNXbomOJuydEtwZgoTnFUzwVm1dE5w1raK+imrFhmSJEmSJEmS0kmpVdSbnNruwSlJkiRJ\nkiRJjUZtEpyfAcvqKxBJkiRJkiRJqq0aL1GPMW5Wn4FIkiRJkiRJUm3Vdg9OAEII7YG/AD8Hsqmw\nYW2McfDahyZJkiRJkiRJq7dGCU7gQZLk5kPA93UXjiRJkiRJklR/LDLU9KxpgnMPYJcY4wd1GYwk\nSZIkSZIk1caaVlH/Eiipy0AkSZIkSZIkqbbWdAbnCOD2EMIFwCdA0aoPxhjnrG1gkiRJkiRJkvRT\n1jTB+e+yf58HVt24IKvsfvO1CUqSJEmSJEmSamJNE5yb1WkUkiRJkiRJkrQG1ijBGWP8rK4DkSRJ\nkiRJkupbSalV1JuaGic4QwjLgK4xxm9DCCWUX5peTozRJeqSJEmSJEmS6l1tZnAOBr4r+3q3eohF\nkiRJkiRJkmqlxgnOGOPrVX1dUQih69oGJUmSJEmSJEk1sUZ7cIYQAnAV0JeVFdOzgFyg85p+X0mS\nJEmSJEmqjTVNRN5Fkti8BrgRGAFsCpwEHFs3oUmSJEmSJEl1q7TEIkNNTbM1fN7PgZNijP8APgI+\njjGeCZyKCU5JkiRJkiRJDWRNE5zFwIKyr6cBW5Z9/TIwYG2DkiRJkiRJkqSaWNME5zvAiBBCS+BD\nYFgIIQv4GVBYV8FJkiRJkiRJ0uqs6R6cpwNPAzOBO0iWpn8HtAEurpvQJEmSJEmSJGn1aj2DM4TQ\nFpgN9AJujzH+QDJz8wjgF2XtkiRJkiRJklTvajyDM4SwEXA/sFtZ0/8BRwI/AgXAFsD5JPtzSpIk\nSZIkSY2OVdSbntrM4Pw70I0kqfkboAtwQwhhA+C/wJXAo0Co4xglSZIkSZIkqUq12YNzZ+CQGOMY\ngBDCOOAjYCCQBWwXY/yw7kOUJEmSJEmSpKrVZgZne2Dq8jsxxk+BHJL9OH9uclOSJEmSJElSQ6tN\ngjMLWFahbSlwYYzRfTclSZIkSZIkNbjaLFGvzqI6+B6SJEmSJElSvSuxyFCTU9sE5yEhhO9Xud8c\nOCCE8O2qnWKMI9c6MkmSJEmSJEn6CbVJcM4B/lKhbS5wUoW2UsAEpyRJkiRJkqR6V+MEZ4yxWz3G\nIUmSJEmSJEm1VpsiQ5IkSZIkSZLUqJjglCRJkiRJkpS26qKKuiRJkiRJkpQWSkutot7UOINTkiRJ\nkiRJUtoywSlJkiRJkiQpbZnglCRJkiRJkpS2THBKkiRJkiRJSlsWGZIkSZIkSVLGKC2xyFBTY4JT\nkiRJkiRJUp0KIVwJDCdZQX5PjPGs1fTdGbgB6A1MB0bEGMfU9Ge5RF2SJEmSJElSnQkh/AX4LbA/\ncCBweAjh9Gr6dgKeBh4G+gFPAE+FEDao6c8zwSlJkiRJkiSpLp0CnB9jfDfG+DpwFvCnavruCBTH\nGK+PMc6OMV4BFADb1fSHmeCUJEmSJEmSVCdCCF2BjYE3V2l+C9g0hLB+FU+ZB3QIIfy67Pm/AtoA\nk2r6M92DU5IkSZIkSRmjxCJD9a0rUAp8tUrbXCAL2Kjs6xVijG+GEG4D/hVCKCGZkHlMjHFGTX+g\nCU5JkiRJkiRJNRZCyAM2rObhNgAxxqJV2grL/s2t4nu1AboDFwDPAQcAt4QQ3osxTq9JPCY4JUmS\nJEmSJNXGtsCrJDM1KzoLIISQs0qSc3li88cq+p8JEGO8rOz++BDCdsCpwEk1CcYEpyRJkiRJkqQa\nKyscVGVtn7I9OK8CugBzypq7kCRDv67iKVsDEyq0jQP61jQeiwxJkiRJkiRJqhMxxq+Bz4GdVmne\nGZgTY5xbxVO+AvpUaOsNzKrpz3QGpyRJkiRJkqS6dDtwVQjhS5LiQlcA1yx/MITQEVgSY/wBuBt4\nM4RwKvA0sD+wJzCopj/MBKckSZIkSZIyRmnJslSHkAmuAToBTwJLgbtjjDet8vgHwH3AxTHG/4YQ\nDgAuKbtFYK8Y47Sa/jATnJIkSZIkSZLqTIyxBDij7FbV45tVuP8s8Oya/jz34JQkSZIkSZKUtkxw\nSpIkSZIkSUpbJjglSZIkSZIkpS334JQkSZIkSVLGsMhQ0+MMTkmSJEmSJElpywSnJEmSJEmSpLSV\nVVpamuoYlms0gUiSJEmSJDURWakOoLHZdPjD5qCq8Nm9h6Xt34ozOCVJkiRJkiSlrUZVZGjp1zNS\nHYLKtOjaC4CFPyxJcSRa1TqtW1L42kOpDkOryN31cACWfT4pxZFoVc037k/Ru/9OdRhaRc72BwKw\npKAgxZFoVS3z8jwmjUzLvDwAihbmpzgSrSpnnY7MW/RjqsPQKjq0bQXAsmlvpjgSLde8984AnJjV\nLaVxqLw7SmenOgSpQTSqBKckSZIkSZJUn6yi3vS4RF2SJEmSJElS2jLBKUmSJEmSJCltmeCUJEmS\nJEmSlLZMcEqSJEmSJElKWxYZkiRJkiRJUsYoXWaRoabGGZySJEmSJEmS0pYJTkmSJEmSJElpywSn\nJEmSJEmSpLRlglOSJEmSJElS2jLBKUmSJEmSJCltWUVdkiRJkiRJGaO0xCrqTY0zOCVJkiRJkiSl\nLROckiRJkiRJktKWCU5JkiRJkiRJacsEpyRJkiRJkqS0ZZEhSZIkSZIkZQyLDDU9zuCUJEmSJEmS\nlLZMcEqSJEmSJElKWyY4JUmSJEmSJKUtE5ySJEmSJEmS0pYJTkmSJEmSJElpyyrqkiRJkiRJyhhW\nUW96nMEpSZIkSZIkKW2Z4JQkSZIkSZKUtkxwSpIkSZIkSUpbJjglSZIkSZIkpS2LDEmSJEmSJClj\nWGSo6XEGpyRJkiRJkqS0ZYJTkiRJkiRJUtoywSlJkiRJkiQpbZnglCRJkiRJkpS2THBKkiRJkiRJ\nSltWUZckSZIkSVLGsIp601PjBGcIocZHP8bYfM3CkSRJkiRJkqSaq80MzrnA+sB7wJPAWKC0PoKS\nJEmSJEmSpJqocYIzxrhBCGE74FfA8cApwFPAKOD1GGNJ/YQoSZIkSZIkSVWr1R6cMcb3SGZwnh1C\n2IIk2XklsFkI4TmSZOdLMcaCOo9UkiRJkiRJkipY4yJDMcaPgY+BK0IIGwC/Ax4kqczetm7CkyRJ\nkiRJkupOiUWGmpy1qqIeQugODCu77QRMI1m2LkmSJEmSJEn1rtYJzrJ9OIcB+wObA2+RJDWPjTHO\nqtvwJEmSJEmSJKl6NU5whhDuBvYBWgMvAlcAz8cYv6un2CRJkiRJkiRptWozg3M4UAx8BHQsuz88\nhFCpY4xxcJ1EJ0mSJEmSJEmrUZsE58VAaX0FIkmSJEmSJNW3UosMNTk1TnDGGC+sxzgkSZIkSZIk\nqdZqswfnBTXtG2O8eM3CkSRJkiRJkqSaq80S9QuBEmAcsAjIqqZfKclydkmSJEmSJEmqV7VJcP4R\n+BWwPfAG8B/gqRhjfn0EJkmSJEmSJEk/pVlNO8YY74gx/hLYCHgIGApMDyG8HkI4LYSwaX0FKUmS\nJEmSJElVqc0MTgBijIuAR4FHQwg5wB7A/sCIEMJcYFSM8ZK6DVOSJEmSJElae1ZRb3pqPIOzKjHG\nIuAFkhmdjwI9gLPrIC5JkiRJkiRJ+km1nsEJEEJoA/wSGAbsVdb8HHAM8GLdhCZJkiRJkiRJq1fj\nBGcIYSOShOYw4BfAl8DTwEHAWzFG5/dKkiRJkiRJalC1mcH5GVBMUkH9DGDSKo/tGEJYcSfG+Ead\nRCdJkiRJkiRJq1GbBGcWsLyo0B6r6VcKNF+boCRJkiRJkqT6ULrMRchNTY0TnDHGWhUkCiE0AzaK\nMc6pdVSNWFFRMZfceBuj33iHvLxcfnfIrzn6kF+v9jljJ07h3Ctv4IWH726gKDNTnDaNqy6/jE8+\nmUGPnj0566/n0nuLLart/8hD/+ShB0fyw48/svseQxhx1tnk5uY2YMRNW1HxUi575HlGj5tGy5xs\njtpjO44asn2VfZ/77yTueO4N5n63kC026cqIQ4bSr9uGDRxxZigqKubim+9i9Fv/JS83l6MP3o+j\nD9qvyr6vvzeWm+57hDlffcPGG3ThlKN/y27b/6yBI276ioqXcunIpxg9dgotc3I46pc78btf7lRl\n32ffGc+dT7/CN98tZItNN+DMQ/ehX/eNGjjizDHt44+57LLLmDFjBj179uTc885ji9WcV/75z38y\n8oEH+PHHHxkyZAhn//WvnlfqgcelcSkqKuLSq65j9Guv0zIvl6MOO5TfHf7bKvt+HKdz6VXXMOOT\nmfTs0Z3zzjqDPr1DlX219uK0aVx75eV8+skMuvfoyYi/nkPoXf1rZbkrLr2Y9ddfn+HH/74BoswM\nRcXFXHzHQ4x+9yPycnM4+ldDOXr/oVX2ff3Didz0z1HM+fpbNu7amVMO25/dthnUwBFnlhY5Ofz1\nw6d55KQL+OTN96vss/Ggvhx6+6Vs2D/w1eTpPPyHc/l83JQGjlTS6qxVFfWf0AmYVY/fPyWuuf0e\npk7/lPtuvILzT/sjtz/wCC+/8U61/afPnM3pF15JaWlpA0aZeQqWLOHPp5zMlltvzYMPP0r//gP4\n86knU1BQUGX/V8aM5p67/sE551/AbXf8g8mTJnLLTTc2cNRN23X/epmP53zDvacfxbmH7s0dz77B\n6I8+rtTvo0/mcOGDz/CHfX/BqAv/yIDuG/HHmx9mSVFxCqJu+q6+cyRTZ8zk/usu4vxTjuO2kU/w\n8pvvVeoXZ87m1Iuu5aC9d2fUnddxyN57cNrF1zJ95mcpiLppu/bR5/n4s6+47+zjOfeoYdzx1BhG\nfzi5Ur+Pps/mwvue5A+/2p3/XHYaA3tswh+uv58lhUUpiLrpW7JkCSeffDJbb701jz72GAMGDuTk\nP/2p2vPK6NGj+cedd3LB3/7GP+66i4kTJ3LjDTc0cNRNn8el8bn2pr/zcYzcd/stnHvmGdxx972M\nfvW1Sv2WFBRw0p/PYOstt+SxB+9lYP++nPTnERQUFDZ80BmgoGAJI047mUFbbc19/3yEfgMGcMap\np1BYzWtluX8+cD/PPvWfBooyc1x93xNM/fQz7r9sBOefeDi3PfoML787tlK/OPtzTr3yNg4asjOj\nbrqQQ4buwmlX3cH02V+kIOrM0CInh2MfuZmufXpV2ye7ZR4nPXcvM17/L5dvtS8z3/2IPz13H9l5\nXiyTGpP6THBCsqy9yVhSUMCTz7/MOaecQO+e3Rm803YM/+2BPDzq2Sr7P/70/3HEn0bQcb11GzjS\nzPPSiy+Sl5fHyaeexqbdunH6iDNp1aoVY0YA9kkbAAAgAElEQVS/XGX/xx55hEMPP4IddtyJLfr0\n4a/nnsfT/xlFYaGD7LqwpKiYUW+P46zf7EnYuAu7DQocvecOPPLaB5X65i9czO/32YW9t+nHhh3b\nc+K+u7DwxyXM/Op/KYi8aVtSUMiTL4zhnD8Np3ePbuy+4zYM/83+PPzUC5X6PvfK22y3ZX8O238v\nNt5gfQ7d/5dsO7AfL7xe/QUd1d6SwiJGvTmWsw/fl7BJVwZv1Ydj9tqFR8ZUTjrnL1zEifsPZu/t\nBrJhp3U5cf/BLPxhCTO/+jYFkTd9L77wAnl5eZz25z/TrVs3zjwzOa+8/HLV55VHHn6YI444gp12\n2ok+ffpw3vnnM2qU55W65nFpXJYUFDDq6Wc5+y+nETbvxeBf7MwxRx7OI4//u1LfF14aTV5eHqef\n/Ec223RTzjr9NFq3asVLY15JQeRN3+gXXyQ3ryUnnXIqm3brxml/GUGr1q14pZqx8Q8//MA5Z57B\nQyMfYP0uXRo42qZtSWEhT778Fuccfyi9N9uY3bfdkuG/3pOHn3u1Ut/n3nif7QZswWH7DGbjLp04\ndO/d2LZ/4IW3P0xB5E1fl949OPO9UXTYbOPV9vv5b/ej6McljDr7SuZOn8kTf76YgkWL2ergfRoo\nUkk1Ud8JziY1bTF+Oouly5YxsM/KpR1b9e/DpI9jlf3f/uAjrjznLxx50P4NFWLGmjJ5EgO3LL90\nY+DAQUyaOLFS35KSEqZOncKgLbdc0dav/wCKly5lxvTp9R5rJpj++TcsLSlhYPeVg4Wtem7MpFlf\nVuo7dOs+HLdXshy3sHgpI19+jw5t29B9g04NFm+miDNns3RZCYP6rFwOuHW/3kycNqNS31/vuSun\nH3d4pfZFP/xYrzFmmvj5NyxdVsLAnpusaNty802Z9OnnlfoO/Xl/jtt3VwAKi4oZ+eJbdGjXhu4b\ndG6ocDPKpEmTyp0nAAYNGsTECRMq9S0pKWHKlClsudVWK9oGDBjA0qVLmR6rHiNozXhcGpc4/ZNk\nbNy/34q2LQcNYNKUqZX6TpwylS0HDijXNmhgfyZMqjxjXWtvyuTJDBxUfmzcf+AgJk+qPDYG+Pqr\nL1laXMx9Dz3MBhu4TVBdirO+YGnJMgb17rGibes+vZg4fWalvr8evCOnH3VgpXbHX/Wj1y+2I455\nm6u3PwCyqp+b1W3bLfn0rfJJ5k/fHkv37beq5hmSUqG+E5xNyv/mzWfdddrRosXKGkod1m1PYVEx\nCxZ+X6n/TZecy+CdtmvIEDNWfn4+nTqWT4it16ED386dW6nvokWLKCospGOnlUmB5s2bs8466/Dt\nt5X7q/b+t3Ax67ZpRYvmK99iOrRrQ1HxUhYsrnqA9t9ps9julCv4x/NvcOYhe9IyJ7uhws0YyXtY\nW1o0r+o9bFG5vpttvCGbd990xf0Zsz/nvXGT2H6r8h9OtXbyF3zPum1blT8m7dpQuLrXytRP2fbE\ni7jz6Vc567B9aJmb01DhZpT8/Hw6dSp/XunQoQNzqzmvFBYW0nmV/svPK3O/dYZtXfK4NC758/JZ\nt/06tGixclv/DuutR2FREQsWLCzfNz+fzp06lmvrsN56zP3WFRv1YV7+/+hY4bWy3nrr8W01f/s9\ne23O1TfcRJcuXRsivIzyv/kLWLdtm/Ln+vbtKCwuZsH3i8v13WyjLmzebeXe2jPmfMl7E6ex/cA+\nDRZvJnnzzof494jLWfoTs/rX6dqJBV+VP898PzefdTdytrPUmNSminrGKygoJCe7fNIlpywJU1Ts\nfoGpVFBQQHZO+Q/5OdnZFBdX3puuoKCArKysyscyO4eiIveyqwsFRcVktyj/9pJddmGgaGnV1ep6\nbdiZx849gdcnTue8+//Dhh3b038zZxDUpSWFRVX83SfHaXXvYfMXfs9pF13D1v23YPAOP6/XGDPN\nkqJiciq8VlYek6VVPqfXRuvz2EUn8cb4yLl3/YsNO61L/+6rX1ql2isoKCCnwnklO6fq88Ty80ql\n81A1/bXmPC6Ny5KCQnKyK4+/AIoqjMGq7JuTXamf6kZBYQHZlX7f/u2nwurHX1Wf6wHmf7+I0668\nna379GLwthYZSqWcVi1ZWmHP86WFRbTwInNaKy2xinpTY4KzFpJBWPkkQFFZIZQ8q3E2qPvvvYf7\n770HgKysLPr260dxhQFbUXExuXl5lZ6bm5NDaWlp5WNZXEReFf1VeznZLSheWn7AVlyW2MyrZmbm\nem1bs17b1my+0fpMmPkFT7wx1gRnHcut6j2sbGCdV80m6fnzF3DcmReTlZXFDef/pd5jzDS52S0o\nqvBaWXFMqnuttGvDeu3aEDbuyoRP5vD4q++b4KwD99xzD/fcfTeQnFf69e9fKRFQXFREXsuWlZ6b\nU3ZeqXQeKvK8srY8Lo1bbk5OpQTl8vNMxd9xlX2LisnL9VjUhZH33cPI++5N7mRl0bdvv0oX+v3b\nT43c7NWMv6pJkOUvWMhxF1xPVhbccOaJ9R6jVq+4oLBSMrNFbg5FP66+aJekhmWCsxbW79SB+Qu/\np6SkhGbNkqW3+d/NJzcnh3Zt26Q4usxy4MEHM2TonivuP3DfvcybN69cn3nz8unYsfI+juu0b09O\nbi7z8vPZdNNkCe6yZctYuHBhlf1Ve+u3b8v8xT9SUlJKs2bJfjb5CxeTm9OCdq3KD6ynzP6KZs2y\n2GKTlUuienTtxMxv8hs05kywfsf1mL9wUdXvYW1aV+o/N38ex5xxEc2aNeP+6y6i/TptGzrkJq/z\nuuswf9GP5Y7JvIWLyc3Jpl3r8gmbKbO+oFmzZmyx6QYr2rpv2JlZFhmqEwcffDB77rnyvHLvvfcy\nL7/8+1D+vHl06tix4lNp3749ubm55M+bx6bdugErzytV9VfNeVwat86dOjF/wcLy72Hz5pGbm0u7\ntuXPGZ07dyJ/3nfl2pJj16HB4m3Kfn3QIew+ZOVr5cEH7mNefvmx8Xfz5tHRv/0Gt36HdZm/aHH5\n8df8hWXjr1aV+s+dN59jzrs2GX9dNoL27fycmWoLvpxLuy7lPyeu06UTC792DCY1JnW+B2cIYflo\nphRoUmsgevfsTnaL5kyYunJj+rGTptCvd68URpWZ2rZtx4YbbbTi1n/AACZOLF9gYOL48fTr37/S\nc7OysujTpy8Txo9b2XfCBLJbtKDX5pvXe+yZIGzchRbNmzNx1hcr2j76ZA79VknMLPfk2+O4aVT5\nCqpT53xN9y4OwOta7x7dkvewj1cW0xo7+WP6hx6V+i4pKOSEsy+jRYvmjLz+Ijqu274hQ80YvTfp\nSnbzZkxcpajQ2Omz6VfF7OUn3/iQm554sVzb1NlfsplFhupEu3bt2GijjVbcBgwYwIQKhWvGjx9P\n/wGV96HNysqib9++jBu38rwyYcIEWrRoweYhVOqvmvO4NG69N+9FdosWTJw8ZUXb2PET6Nend6W+\nA/r1ZfzESeXaxk+cxIB+fes9zkzQtm3bcmPjfv0HMKni2HjCePpWMTZW/eq92cZkN2/OhLiyqNDY\nqTPo37Nbpb5LCgs54aIbk/HX5WfSsf06DRipqjPrvXH02GHrcm09dtyaWe+Nq+YZklKhxgnOEMLd\nIYTqS4slffYEJgPEGL+NMVZeL5TG8nJzGTZ0MBdffyuTp81gzJvv8sBj/+Gosirp+d/Np7CwSeV0\n08bgPYawaNEirr/2GmbNnMl111xFQUEBewwZCkBhYWG5GZ4HHXwI/xz5AK+/9ipTp0zm6isv51cH\nHEiuWw3UibycbPbbbgCXPPQcU2Z/xSvjpzHy5Xc5Yvek6Na87xdTWLY056Cdt+KD6bN5+JX3mfPt\nd9z69GtMmf0VR+yxbSr/C01SXm4uw/b4BRfd+A8mx08Y/fb73P/EMxx5wD5Ashy9sGwp550P/5sv\nvvmWy0ecRElpKfnzF5A/fwGLreJZp/Jystlvxy25+IGnmDLrC8aMncrIF97iiKE7ApC/cBGFZVuh\nHLTrNrw/bSYPvfwOc+bO49ZRo5ky6wuOHLpDKv8LTdaQIcl55ZprrmHmzJlcddVVFCxZwtChVZ9X\nDjnkEB64/35effVVJk+ezOWXXcaBBx3keaWOeVwal7y8XPbb+5dcfOU1TJn6MWNee4ORDz3KEb/9\nDQD5876jsKx4x9DBu7Jo0WKuuv4mZs6azZXX3UhBQQF77rF7Cv8HTdduu+/B4sWLuOm6a5k9ayY3\nXHs1BQUF7L7HytfKdxVWP6l+5OXmMGy37bno9geZPGM2o98bx/1PvcSRw/YAkuXoy8/1dz7+HF/M\nzefyU4ZTUlpC/oKF5C9YyOIfl6Tyv5CR2nbuSIuyc8VH/3qelu3bcfD159Oldw8OufFv5LRqydjH\nn01xlJJWVZsZnAcDj4YQKi1rDyG0DSHcBfwfMKeugmuMzjzpOPps3pPhp5/D5TffycnHHrGiUvqu\nBx7FC6+9meIIM1Pr1q25/qabGf/RR/zuiMOYMnkKN95y64p9hl5+6UX22XPIiv5D9tyT3x0znCsu\nu5RTTvoj/fsP4ORTT0tV+E3SiIOH0meTrhx3w0iuePQFThq2G7sNSmbMDD7zel78MJntscUmXbnx\nxEN48u1xHHTJnbw95RPuOO1wOrkcul6c9Yff0WfzHhwz4iIu//s9nHz0b9l9x20A+MUhx/PCa+8A\nMPqt/1JYVMRvTz6HXX9zworbFbfdl8rwm6QRh+5Dn24bcOxV93DFQ89w0gF7MHirpFrq4NOu5MUP\nkhlPW2y6ATeefARPvvEhB51/M29Pms6dZwynU/t2qQy/yWrdujU333ILH40dy2GHHsqUyZO59bbb\nVpxXXnzxRYbssceK/nv+8pcMP/ZYLr3kEv74hz8wYOBATjvN80pd87g0PiNOO4U+vQPHnnQKV1x7\nAyf9/jgG/2JnAAbvPYwXRyerNFq3bs2t11/N2PET+O3vjmXSlKncduN11e4BrbXTunVrrrnhJsaP\n+4jhRx7O1CmTuf7mv6/Yn37Myy8ybK+hVT85a7VzWrQGzhr+G/r02JRjzr+Wy//xMCcf9it233ZL\nAH5x9Bm88NYHAIx+76Nk/HXmZex6zBkrblfc/Wgqw88MpaXl7l719ftsfUgyCaBw8Q/cuu9weu6y\nDX/98Bm6bTOQW/Y6muKC1VdfV+NWWrLMWxW3dJZVWuGFXJ0QwpbA88A44IAYY0FZ+1DgLmAd4OwY\n4x1rGEvp0q9nrOFTVddadE2W3S/8wauFjck6rVtS+NpDqQ5Dq8jd9XAAln0+6Sd6qiE137g/Re/+\nO9VhaBU52x8IwJICN+RvTFrm5XlMGpmWZQmoooXuRd2Y5KzTkXmLXMXQmHRom+xfuWyaE0wai+a9\nk4sbJ2Z1S2kcKu+O0tkAXrmoYN2hf6tZMizDzH/porT9W6nxDM4Y4zhgJ6AX8FIIYeMQwj3AC8BY\noM9aJDclSZIkSZIkqdZqVUU9xvhpCGEnkqXoM4G5wEExxifrIzhJkiRJkiRJWp1aV1GPMc4FdgFe\nBxYD79d1UJIkSZIkSZJUEzWewRlCOKpC02PAxcDbIYSLgKXLH4gxjqyb8CRJkiRJkiSperVZon5R\nFW3Ld6U/f5W2UsAEpyRJkiRJkhqddK8YrspqnOCMMW5Wn4FIkiRJkiRJUm3VqshQVUIIXYAdgW9j\njG+ufUiSJEmSJEmSVDO12YMzG7gOGA5sGWOcEULYG3iirMvSEMI0YM8Y44K6D1WSJEmSJEmSyqtN\nFfWzgV8DJwCfhxBygHuAWcBGQCfgc+DSug5SkiRJkiRJkqpSmyXqRwB/jDE+AxBC2AtYHzg3xji/\nrO0mkurqf6rrQCVJkiRJkqS1VVpSkuoQVMdqM4NzU2DCKvf3IKmY/vwqbXOA9eogLkmSJEmSJEn6\nSbVJcP4P6LrK/b2B8THGb1Zp6w98XReBSZIkSZIkSdJPqc0S9X8DV4YQTgGGAAE4efmDIYTOwOXA\nM3UaoSRJkiRJkiRVozYzOM8D5gPjgauBe2OMtwKEEM4BPgOKgQvqOkhJkiRJkiRJqkqNZ3DGGBcD\nB4QQ2gGlMcZFqzz8NnAY8EyMcWkdxyhJkiRJkiRJVarNEnUAYozfV9H2et2EI0mSJEmSJNWf0pJl\nqQ5BdazGCc4Qwr017RtjHL5m4UiSJEmSJElSzdVmBmdWDfuVrkkgkiRJkiRJklRbtdmD8xiAEEJb\nYFmM8ceKfUIIXYGr6i48SZIkSZIkSapebZaobwg8AOxWdv//gCNjjPNDCM2BPwPnk1RSlyRJkiRJ\nkqR6V5sl6rcC3YAjgSLgbOCGEMI5wNPAIOAe4Jw6jlGSJEmSJEmqExYZanpqk+DcGTgkxjgGIIQw\nDvgIGEiyP+d2McYP6z5ESZIkSZIkSapas1r0bQ9MXX4nxvgpkAPMBn5uclOSJEmSJElSQ6tNgjML\nqDiHdylwYYzRfTclSZIkSZIkNbjaJDirs6gOvockSZIkSZIk1Vpt9uAEOCSE8P0q95sDB4QQvl21\nU4xx5FpHJkmSJEmSJNWxEosMNTm1SXDOAf5SoW0ucFKFtlLABKckSZIkSZKkelfjBGeMsVs9xiFJ\nkiRJkiRJtVYXe3BKkiRJkiRJUkqY4JQkSZIkSZKUtkxwSpIkSZIkSUpbta2iLkmSJEmSJKWt0mVW\nUW9qnMEpSZIkSZIkKW2Z4JQkSZIkSZKUtkxwSpIkSZIkSUpbJjglSZIkSZIkpS2LDEmSJEmSJClj\nlJZYZKipcQanJEmSJEmSpLRlglOSJEmSJElS2jLBKUmSJEmSJCltmeCUJEmSJEmSlLZMcEqSJEmS\nJElKW1ZRlyRJkiRJUsawinrT4wxOSZIkSZIkSWnLBKckSZIkSZKktGWCU5IkSZIkSVLaMsEpSZIk\nSZIkKW1ZZEiSJEmSJEkZwyJDTY8zOCVJkiRJkiSlLROckiRJkiRJktKWCU5JkiRJkiRJacsEpyRJ\nkiRJkqS0ZYJTkiRJkiRJUtqyirokSZIkSZIyhlXUmx5ncEqSJEmSJElKWyY4JUmSJEmSJKUtE5yS\nJEmSJEmS0lZWaWlpqmNYrtEEIkmSJEmS1ERkpTqAxiZny+HmoKpQNO7etP1baUwJTkmSJEmSJEmq\nFZeoS5IkSZIkSUpbJjglSZIkSZIkpS0TnJIkSZIkSZLSlglOSZIkSZIkSWnLBKckSZIkSZKktGWC\nU5IkSZIkSVLaMsEpSZIkSZIkKW2Z4JQkSZIkSZKUtkxwSpIkSZIkSUpbJjglSZIkSZIkpa0WqQ6g\nqQghtAZ6AiXAjBhjQYpDUpkQwjpASYxxUapjkSRJkiRJUt3KKi0tTXUMaS2E0BK4DTgUyClrXgLc\nC5weYyxOVWyZLITQDDgfOAHoUtY8B/h7jPG6lAUmSZLUhIUQ9gF6A7kVH4sxXt7wESmE0Jfqj8nD\nDR+RAEIIm8QY56Q6DklqKpzBufbuBLYC9gU+BJoDPwduAK4FTk1daBntGuA3wN8of1wuCCG0jDFe\nmsrgMkUI4VWgRldRYoyD6zkcVSOE0IFkBnpVH3zeaPiIBBBCWJ+qj4kfhlIghNAVOJPqkwS+hzWw\nstUzx1H9MRne4EFluBDCvcDhwCSSC/6rKgVMcDawEMJlwF+B76j6mJjgTJ1PQwjvA48Cj8cY56Y6\nIElKZyY4197+wO4xxg9XaXshhLAQeA4TnKlyNHBgjPG1VdrGhhBmAiMBE5wN47VUB6DVCyGcTHIx\nJruKh0tJLg6oAYUQDgLuANat8FAWHpNUegzoCvybykkCpcajwPbAaDwmjcVBJOOvZ1MdiFb4A3BC\njPHuVAeiSjYmec0cAlwbQniL5H3tXzHG+SmNLIOEEJbVtG+M0TGY1IiZ4Fx7+cB6VbQ3B75v4Fi0\nUkHZraL/kSQJ1ABijBelOgb9pPOBS4Br3Tu40biBJJl2CyZtGpOtge1jjBNTHYhW2A0YEmN8N9WB\naIWvgG9SHYTKWQT4GmmEYozfAH8H/l62SuBA4ABWJjsfBv7t+KzezQXWB94DngTGUsMVaJIaFxOc\na+9S4J6y5R/vAMXAoLL2+0IIOyzvGGN8JzUhZqS/kByXv1D+uNwMXBdC2GB5xxjjV6kJsekrW6pW\nIy4lTJkS4AkHz41KG+CmGOP0VAeict4j2crBBGfj8THQMtVBqJwTgdtCCDcBn5GcY1ZwLJwSI4Bb\nQwjnUvUxcRzcOKxbdutIsqqmGDgZuDGEcFyM8alUBteUxRg3CCFsB/wKOB44BXgKGAW8HmMsWd3z\nJTUeFhlaSyGEmr7hlTqlveFUOC7L/8izKrRl4XGpVyGE+2raN8Z4TH3GoqqFEE4ChgKnxBg/S3U8\nghDCpUAn4OQYY1Gq41EihNANeBt4GZhN5STBxQ0fVWYrK5zyJMksp6oSNyNTEVcmCyGcDlxF1Vtp\nOOZKgRDCocA/gFYVHnIcnGIhhH4kS9QPBnoBrwKPAE/GGL8v6/M34E8xxk4pCzTDhBC2IEl2/grY\njGTbuVHAS04IkBo3Z3Cuvar2rVPq9Up1ADJpmSamk8w4nxlCqPSgH3xS4l/AK8BRIYS5VE7adE9J\nVLqMZGZNb2DTCo+VAiY4G97xJOf7P1B18RQTnA3v3LLbbbjFRmNxLXAfSZLTY9K4TCRZaXY7SZGh\nb6vo8wbQo0GjynAxxo9JVghcUbbq73fAg0AzoG0qY5O0eiY411KMcVkIoT3JiadiBc9S94VKjRjj\np7CiOnRVlVVdjtPAQghZJEW5+rJyZkcWyfHZMsa4V6piy3B3Ai8C9+MHn8bin8BkkllpHpPG41fA\n0Bjj66kORCscCxwaY3ws1YFohWJgVIxxcaoD0QqtgBtijLNSHYgq2eynVs/EGF8lmdmpBhRC6A4M\nK7vtBEwjWbYuqREzwbmWQgh/JCkIYQXiRiSE8GuSxE2HCg9ZhTh1biH5MDoO2IbkinUPoAvJlWul\nRifgr37waVQ2A4bFGGemOhCV8xnwQ6qDUDn5wJRUB6FyzgOuDiGc5rYnjcb1wJkhhFPd9qTRmRNC\n2JfqL/7vl7LIMlDZPpzDSCZkbA68RZLUPNZxspQeTHCuvb8BlwPX4UybxuQmkn25/o7HpbH4DXB4\njPHJEMI0kiWFkWTmYE4qA8tw95EsvbkwxXFopWeAPUiWE6rxuAB4IIRwPTALWLrqgzHGN1ISVWY7\niaR4ysVUfUzmpCSqzHYWsAkwLIRQSuUtNjzfN7xdgJ2Bo0MIX1P5dbJ5SqISwI3A70mWqm8FvA90\nJ7n47BiggYQQ7gb2AVqTrGq6Ang+xvhdSgOTVGsmOOvGIy7FaXTaAtdbhbhRaQd8WPb1JGCbGOOU\nEMIVJIMJpcY6wAkhhGOpOkEwOCVRZbbZwE0hhKOAmVQ+JsNTEZR4vOzfu6p4zJUBqfFs2b8vr9K2\nooggHpNUODHVAaiSR8tuanwOBY6IMf4rhBCB44AZJPsHZ632mapLw0m21/iIZK/t4cDwavamd1ws\nNWImONfeZcCVIYSTY4xfpjoYrXAHcFoI4ZQY49Kf7K2GMBPYEphDsqRwG5LZg1kkSTalxkySK9Vq\nPNan/IdRP+Q0AjHGZqmOQZVsluoAVF6McUx1j4UQOjdkLErEGO8BCCG0BnqSzKqdYTXoRmEdklmb\nkMzi3CbGODWEcBnwQurCyjgXk1wUk5TmTHCuvcnARSR7qJRQ4c3RpTgp8wjwGvC7suU4FZdIuRyn\n4V0HPBxCGA48BowNISwFdiDZ40YpEGO8KNUxqLwY4zGpjkFVCyG0IElAV7VXmoVuGliM8bMQQjYw\nBNiC5Fw/AXgtxliy2ierXoQQepFcNKtqT8GuVL1nvepRCKElSVX7Q0l+/1nAkhDCvcDpMcbiVMaX\n4WYBA0ku/k8lufh/P8nnSS/+N5AY44WpjkFS3TDBufbuAsZgBeLG5iHgY5JEp8clRUIIbZZv3xBj\nvDuEMB1YHGP8uKwQ1HHAB7j/Y8qEEFoBJ1D9BvdbpCq2TFa2ZcDvWZm0mQj83SRa6oQQ9ic551cs\nXgfwNcmFGzWgkKwffJ5kv7rpJO9hPYFZIYS9Y4xfpDK+DHUXkEdSWPA6kj05u5EsXT8+dWFltDtJ\n9nfcl2SroObAz0mKpF4LnJq60DLeDZS/+P9hCKGQpGr3OymNLIOEEC6oad8Y48X1GYuktWOCc+11\nBkZYWa3R6Q4MiDF+mupAMtycEMLAGOPnZTMFTo0xLgKIMb6Ie282BneTFLQZDRxMMsDuRfLhx9md\nKRBCOAc4k6T4wMWs/DD6jxDCejHG21MZXwa7EhhFUpH4bZKCBB1IEjmXpDCuTPYPkuWdxy+/mBZC\nWAe4hySps08KY8tU2wA7xhjHhRAOBybFGG8uKy54NMmEADWs/YHdY4wfrtL2QghhIfAcJjhTJsZ4\nZwhhBvB92dL0g0guBEwAzk9tdBnlQpKLyeOARVS/NVApybhMUiNlgnPtjQSOwA83jc1zwK6ACc7U\nagYMCSGMIanU/fcQQn5VHa12mzJ7AQfHGEeHEPoCN8QYx4YQriOZ1amGdzJwVIzx6VXangohjCOZ\n7WGCMzW6A/vGGD8NIYwFusQYnwohLCOZBXV/SqPLTD8Dtlq10GOMcWEI4XyS1QFqeEuB+WVfTyPZ\ne/tVkguaV6UqqAyXD6xXRXtz4PsGjkUVxBhfWeXr50lmpath/RH4FbA98AbwH+CpGGOVn1kkNV4m\nONdeS+DcsqUFVVUgHpqSqDQDuCWEcCRVVyE+ISVRZZ4bSWYILt+btqoPnFa7Ta08kqWdkBR/+hkw\nlmT20xupCirDZQOfVdE+DWjbwLFopQVAq7KvpwGDgKfKvrbYTWp8BAwFYoX2nwHjGz4cAe8Cp4cQ\nRpAshz6EZNbzVkBRKgPLYJcC95QVrnmHpFr0oLL2+0IIOyzvGGN0WXQ9CyG8TA0L2vg5smHEGO8A\n7gghtCWZ+f9r4JoQwiSSlRujYoxVja0IuxIAABzMSURBVMskNTImONfel8A1qQ5ClWwC/Lvs62zc\n1D4lYowXhhBuJNkofRbJ0rX/pTYqVfAxyRL1e0mKpu1EktxchyT5qYZ3EXBXCGF4jHEyQAhhE5Ik\ngdsGpM5zwG0hhN+TFLG7JoTwDHAQ8FUqA8tgLwNXhRB2Jdk2YHni5jDgoVX3VXPftAbzF+AZkqIp\ndwCnla3caEdSfEgN756yf2+r4rG/ld3Ai80N5b1Vvu5AsiT9aZJJAEUks54PAm5t+NAyW9k2Wo8C\nj4YQckjGx/sDI0IIc0kSna7alBqxrNLSGl1AkqS1EkLYFJgTY/RNpxEJIQwDngD+BLxAMovzdWAA\n8G6M8bcpDC8jhRA+Z2Wl7sUkM9Dbs3K28woxRj+MNpCymR03kSQ3Hyy7HUpyjI6IMT6TuugyUwjh\n1Rp2LY0xDq7XYLRCCKEZ0CrGuLjsdTMYmBdjfCvFoWWkEEKNzxMxxmX1GYvKCyG8RLIU+tYK7ccC\nw2OMO6YmMsGK97KdSJKcxwEtYoytUxvV/7d373G3znX+x1835VCMfr8kJrWj2u/OMoPSQTKmCaMz\npeTn0IGETMhPMqikhJJTihwrUxEhahJGzTRJp0neyraR2HLeYts29/zxve69117ubd/u3b6+1+16\nPx+P+2Gta616fB7781hrXdfn+n4/n4h4NClw/hVIegewJ2Vy5/qUQsHNtj9XNbCek/QKSuP051H6\nqmwDXGf7W1UD6ylJT6Gs7FifsqJ2oQbeufisR9LawDK2/yBpHUpf4duBo2zfVze6/pH02om+1/al\nSzOWeHRN8WaO7QdrxxJRm6S1KD3sVgWWo/R3nAn8l+30eqxM0pMo58OrAlfZ/vfKIfWepL8A69q+\nZuj484Gfp5jWPkkrAW8A3kjpUw9lB8e5wEW2/1IrtohYvBQ4l5Ck91OmqR0KfAp4CfAayiCII2x/\nsmJ4vSXpzZQBUCcBH6AMS3k7ZXvnHrZPqBheLzVbOdcHzmCcpva2s/W2gmbr8+DF6A2DAzuiroH8\nXJO81NEUBd7N+IWbi21fWC+6fmpy8kJKkeY+SRsAO9MUboDP276lZox90uTjNErfujsoK84fAn4D\nPJvSr/5o4P/bfrhSmL0i6WmUwWevogx52ofS0mFlynfXcyk7Nt5s+9Y6UYakyyl9nD9ke05z7MmU\n/vWr2f6HmvH1haQ1KQXNNwKvpbSgO5fSZ/vyrGyOmDrSg3PJ7Qm8z/Z3JX0CwPYpTb+h4ygNvKN9\nBwIftH16s80D25+VdDNwAJACZ/s2BTayncm2HSDpw8DewOpDLz0s6UrgU0NTvGMparZB7UPZCvUj\nSq+0bwD/TFntPE/SUcC+tuct8v8o/qokTQcuBu6mFGueSrlRcwowDThV0vWU6eqzqgXaI5LWB75H\nmQo9q/kuO4VSvLmKMmDIkl5v+6f1Iu2VsV7bz7R9U7Oy+UjgbtvrSdqQkqNRYN+KcfbJUZQ+2jsA\nO1J61F4KbGf7fkmrUG44HwNsVS3K2JmyOvBPkkz5vX8+cDOwec3AeuZ6Sg/ny4C9KL/3Y14laf4T\n2xnAGdFhy9QO4HFgGmUwx7A/UFYSRB3TKSdzw/4TWLPlWKK4CcjKjQ6QtA+lfcOelNXNm1Ga3u9C\n6b35LeB0SdtVC7J/DqH8+5tywXMpZTL3BsCTgX+gFDszpKNdRwNn2H6R7Xc2/dDeB0yz/Q7KOcAf\nyTCINh0JfJVSUDueUqQ52PaWtj9qe1NKwe2oijH2zduA3W3fBPMHdewG7CJpJdv/SVkFvX29EHtn\nc8qqwLMpvQNXBT5t+34A23dTis1vqBdiNIMEp1M+G+cA36G0CXqp7esqhtY3I5TdGZsCX6T02h7v\nb6J9nyOikqzgXHL/TfkhGpuoNrbnf0/KNLyo4yrg9ZRp0LAgL9tSpkZH+/YGjmum2v6BMilyPts3\nVImqnz4EbGN77CbA1ZJ+TdmutrrtwyT9HjiM0uohlr7tgK1s/1jSSZTVAxvb/nnz+n9Ieh/wbcpn\nKdqxIbDr0LHTga9IWtX2bc0Ng/zet+fvKEOdZkv6DPBx4Lyh95xGWYUT7biHpmXAwLFnAcuzoN/2\nw2RCd5vuo7QKwPYsSYdQVqIPegalpUBUZPsBSbMpn6NlKefH6SHXItuPadFXs+tmzVy7RHRPCpxL\nbnfge5I2p2wF+WKzpW0VFjQmjvbtBZwjaWPKHbmPSnoe8Epgy5qB9di3m/9ewMInbmOToXPh054V\nKP3RBj1AuRhaBbiNsjJ9tZbj6rMnUf7dsf1bSZcBdw69Z3brUcW1wLso/ZvHvIHy+RkrFryYFAna\ndCOl8DzT9hxJr6ds5xy0GeVGWrTjOODE5vz3vymFs48BZzWF6HcD/wp8rWKMfXM6cJqkD9s+z/b+\nYy9Iejrlhv9HKSuioxJJzwDOpvyO/J5yLvwc4NqmzcafasYXi/Q04Dpy7RLROSlwLiHbv24KZ9tS\ntng+AbgQODUTI+uxfYmkF1BWql1AOdn+BfDebPmoZq3aAcR85wAnN0PSxi5GjwJ+1axIezFlK3S2\n4rTnB8AXJH3Q9gzbGw++KOnllO3S6Yvarn2A85qbZT+lfFa2Ag6y/aCkIymD7HapF2LvHAycJOnZ\ntj9t++KxFyStS/nueh1l4E20oOlx/hfKOdcBwK3AmZR+6ADrUnbUfL5KgP30UeBeSk/a4RXOY0O5\nDgG+0HJcsbCjKTczn2n7dpg/IOoMyudl64qxxaMbWfxbIqJtmaI+Cc32wT2aHkPREc3W58/Zvq92\nLBFdNjCh8x2U1bMjlBs029qeIekiyva2D2S6ajsGLmhusb3d0GtbUwYOfRvYMb897ZL0IkoxYG1g\nFnCm7Yua195JmXB/ZcUQe0fSqyntNL41dHw9YCfgBNu/qBJcRMQESboX2ND2b4aOvxS4zPZT6kQW\nj6ZZBf0n21nBGdExKXBOgqSHgDVy4d8tyUv3DOZE0sM8Sk+hnCS0T9JTaYo2g32EJI3Yzo9DBZKW\nsz136NjKwJMypTsipoJmxfP7gRdQem/+GjjWdnrVVpKcdJOkGyk90S8fOr4RpcVDBtZ2UAqcEd2V\nLeqTkyXp3ZS8dM8mLOhN97qagcQj2b5d0lnA1yV9c2x7VIqb9dieK+lS4OvAt2zf1qzYzKrNDmh6\nCe4JPJcy7GZ3yqrbQ6sG1mPJSbdI2p6yHf2bwCmUHnXrUQalvdP2dyqG10vJSad9A/iypJ0pLYMA\nXgEcS8lXREQ8BilwTt6GkoYHQDyC7cvaCCbmW1PSCot7U6betcP2peM9HiZpjXYiinGcC2xP6f94\nCeVk+yzbw9NWoz3JSQdJ2oUysfsQ4LPN4SsoeVre9kGL/B/HUpGcdNK/Ah+0feLgwaaA82kgxbT2\nJSfd9XFgDeDigWMPAV8FPlIlooiIKSwFzsk7ewLvyWTo9i1uq00mdlciScBngBex4N9/BFieMq07\n30cV2D4cOFzSNEoz+w8Ax0j6PqWwdm762rYrOems3YH32T5f0qcBbJ8u6Q7K6qgU09qXnHTPU4Gf\njHP8R8DnWo4liuSko2zPAbaVtAcgYA7whwyqjYiYnBQUJm/19HrspJcDf64dRIzry5TC5mGUyZB7\nA9OAXSlDIaIi29cDhzVb1nekbPncHHhA0teA/W3ns9Wi5KRzpgG/G+f4tZQCQrQvOeme44HPStrO\n9p0Azc6afYHjqkbWX8lJh4w3M6BpETReETo6RNLKTdugUWDu4t4fEe1LgXNy0p+um0aBG1J47qz1\nKZMifylpO+B3to+RdA2lwHlK3fD6S9Jzga2av5cAlwC7UaZ2Pw04Bjgf2KBSiL2TnHTSfwHbAQc2\nz0cljQB7saB3WrQrOeme9YFXAn+UZOBBYDqwCjBD0pvG3mh7ep0Qeyc56ZbMDOgYSV+h7AZY5DW+\npH8CTgCmNdeaK7YVX0RMXAqck5Mfpm5KXrrtQeCu5vHVwLqUnkM/IFukqpH0K+DFlPYOpwBn2r5l\n4C13STqBsgI3WpCcdNbuwAWStgBWoAyBmA48CdisZmA9lpx0z+nNX3RHctI9WSzTLVsBK0t6t+15\ngy9IWhk4grIY48c1gouIiUuBc3Jex4LJ0NEdOwAZwtFdPwH2lrQXZQjENpKOoEzyfKBqZP12JvAW\n2zMe5T0XAs9sKZ5ITjrJ9v9Img68C3gB5RzqHOB02/dWDa6nkpPuGR5kE/UlJ510lKT7F/cm2zu2\nEUywMXABcK6ktza9UZH0esrN5FUog7qOrxdiREzEyOhobiAtqWYr4XrAExlaRWj71CpB9Zykw4GP\njf1ADRx/PnCC7Y3qRNZfkl5ImQ59HKUf1BXA6sBKwMG2P1ExvN6SNANYz/YdQ8f/Fvil7dXqRNZf\nyUk3Sfo5sL3t39SOJYrkpHuagYKfBJ5PGSK4kGyBbl9y0i2SHgb+DZhIgXOHpR9RAEh6DuXm8c3A\nuymtT3YAvgN8yPaf6kUXEROVFZxLSNLelMnQdwCzh14eBVLgrOOfgS0l7Wj7cklPBD5Gaaj+/bqh\n9U+zvWMm8DxgRdv3SVqPcsf0TmDnetH1j6S3U4bVQBnSccw4KwmeDcwjWpGcTAlrAA/VDiIWkpx0\nz9cpwze+xAQKONGK5KR7ds/MgG6xfa2kVwPfA2YAs4C32z6rbmQR8VikwLnk9gL2sZ0egt3yEuAA\n4AeSTqc0V1+O8kN1XtXIekTSmsDJlLYOUE4a3gPcB8yhbCn8OKU/Z7TnUkoxbWTob8wo8FvKDYFo\nR3LSfacCFza/KTMp32HzZcdGFclJ9whY3/ZVtQOJ+ZKTiAmwPUvSRpRVm2uSYXURU04KnEtuBSB3\ndjrG9lxJh1JWDO5EWfX0/1LcbN3RlFVn76GsHtgXOFLSfpTt6i8DTgT2qxVgH9n+M7AjgKSZwGG2\n76sZU98lJ1PCOyirBbcZ57Xs2KgjOemei4ANgRTTuiM56ZbrycrzTpG03dChM4GDgR9LOoiB3TO5\ncRbRbenBuYQkHUtZjba37fxjdoSkbYFDKUOHdqEU0j5BmX63m+1rK4bXG5JuB7a2/cPm+XOAKylb\nP0aA99q+omKIvdTcnf6J7XnN40WyfVlLYfVachIRjweSngX8ovmbCTw8+Lrt91cIq9eSk4hHJ+m6\nCb511PbaSzWYiFgiWcG55P6GskJwm+bLce7gi7Y3qRJVfIVS4DzE9lzgMklnAccA/wOsWDO4HnkK\nAysGmv42y1FOsLe2na3pdVxCGfB0a/N4UUaBZVuIJ5KTzkvhuXuSk046nvI9dRfjDLSJKpKTjpL0\nFOAjwPqMP6w215EtsL1W7Rgi4q8jBc4l93vgkNpBxCO8zPbVgwds/xF4k6S3Voqpj0Z45DacecCB\nKW7WY3uZ8R5HPcnJlHDJIo4/QJm6mlUd7btkEceTk3o2Bl5j++e1A4n5NiY56arTKMXNM4B7KscS\nQyStDrwKuNX2f9SOJyIWLwXOJWT7oNoxxCPZvlrS04DpLFjtNEK5c/28aoHFmNm1A+izZrvahNi+\nYWnGEkVy0n3DhWdJywLPofQaPqNKUD2XnHTSb4GVagcRC0lOumtTYCPbP6sdSJ9JeiJwOKUX+rq2\nfy9pc+CbzVvmSboa+Cfbd9WKMyIWLwXOSZB0ErCH7dnN40WyvWNLYcUASe+jXOA8kbItZ2zLxyhl\nIt5nKoXWR1tLGrwrvSzwVkm3Dr4pTbtbNZPyWRg2+DkZk+3Q7ZhJcjKl2H4IuEbSvwAXAKdUDqn3\nkpNOOBo4TdKJwHUMDOcAsP21KlH1W3LSXTcx1BM1qtgXeAvwfuDGpp3W2OflNcBfgK8BnwQ+VCvI\niFi8FDgnZ2QRj6M79qO0DjiU8uP0cmBlykTVTL1vzw2U3kKDZgG7Dh3LtNt2DfYa2gLYHdgT+Bml\nj/DfAUcAJ7QfWm8lJ1PXapR+w9EdyUk9n2z++95xXhulFAmiXclJd+0NHCfpAOAPPHKWQ3ZstGNb\n4IO2vwsgaTPg6cDHbN/ZHPsCZbp6CpwRHZYp6vG4JGkuMN32TEnnAafY/qakVwMn2Z5eOcSITpB0\nA7CV7Z8OHV8P+K7tNepE1l/JSTctYsfGysA/At+2vVPLIfVechIRU5mkwdWbgxflI5SJ3dmx0QJJ\ncyjXjTc0zw8HPgw8w/YtzbFpgG2vUC/SiFicrOCchOYu24TYPnhpxhKLdCvwNMq2z6uBdSl9VG4C\nnlEvrIjOWZnxfwtWobR4iPYlJ900vGNjFLidskr9tPbDCZKTTpK0MvAuSs/zTwMbAFfZvr5qYD2W\nnHRWpnd3w5+BNSg7zwA2B345VtxsvIQyvC4iOiwFzsk5kNIv5ReUYSmL2qY+CqTAWce/AadK2gm4\nkNJ76OfAlpTJ9xFRnE75fOwP/IryfbY+5bvrSzUD67HkpINs71A7hlhYctI9kl4IXAzcArwQOBZ4\nB6X39ua2L68ZXx8lJ92VAnNnfBs4VNLulB0AAnYbe1HSapTWZ9+tE15ETFQKnJPzQeDNwIbAZcB3\ngHNs31Y1qhj0UeAuYFXb5zaN1Y+nrOzI4KeIBfak3Kg5krLqGUqf1KMpJ3PRvuSkgyStBOwPfJVy\no+xk4G3AlcC2uVBtX3LSSUcBJ9r+mKTZALa3l3QbZUrxy6tG10/JSYdIeghYw/atzRb1RfaLyxb1\n1uxPmQXwS0o+TrJ9DICk/YCPA1cBE97FGRF1pMA5CbaPB45vtntsQZm6dpik3wBnA2fnpLou2w8y\nsHrW9v6UH6+IGGB7HmUo136SVm2O5WZNRclJZx0HrAOcRNnq+TbKDbO3U1ZEbVEvtN5KTrpnA2Dn\ncY4fC+zScixRJCfdsglwR/P4dTUDicL2vZQVzX9D6X06e+DlH1N+X77bnJ9FRIelwLkEmi+/bwDf\nkLQcsCnwJmBvSbMohc5P1IyxT9IbNWJiJG0HnGn7gebx8OvzH9vOdPsWJCdTwhbAxravkfRZysXO\nmZKupLSsifYlJ91zO/BcykToQa+g9EeP9iUnHWL70vEeD5OUgYIts33POMcWmaOI6J4UOP9KbM+V\ndCFwb/P3XmBfIAXO9hxIeqNGTMRBwPnAA83jRRmlbNmJpS856b4RYK6kFSk3NMdWPv1fyu9+tC85\n6Z7DgK9I+gSwDLCRpHcDe5HtnbUkJx2lcvfyM8CLgLHt6CPA8sBq5Fq9FZJOmuh7bafVWUSH5Utz\nCTX9n94AvBHYrDl8PrADcFGtuHoqvVEjJsD2WuM9jnqSkynhYuDLlMLZQ8A5kjah9EY9t2ZgPZac\ndICkjYCf2J5n+1hJNwN7A3OBLwIGdrH9tZpx9klyMmV8mVLYPAz4PCVH04BdgZ0qxtU3i1oUM2yR\n/VIjohtS4JwESWtSCppvBF4L3EQ5kX47cLnthyqG11vpjRoxOZLWAZ5PWTEwaNT2aRVC6r3kpJN2\npKz+nwa82fY9kl4KXEAZQBDtS0664UfAGjTbnW2fTTnvinqSk6lhfWBD279s2tP8zvYxkq6hFDhP\nqRteP9jeAaC5hnzI9n3D72laBnym7dgi4rFJgXNyrgcepKwS3Av4zcBrrxrqlXZZu6FFeqNGTJyk\nQ4F9KBdB9w+9PAqkmNay5KSbbN8N7DF0+AzgNttZ1VFBctIZE139FO1JTqaGB4G7msdXA+tSVqb/\nAPhcraD6RtIzKMXk1zXPvwe8x/adkpYF9qTcNHuwXpQRMREpcE7OCDBWONv0Ud43yoJ+KlFBeqNG\nLNYHgJ1sf7V2IDFfctJBkv4WOAI4lHIhehHwauBGSW+y/aua8fVRctIpKSh3T3LSfT+hLMDYC7gC\n2EbSEcB6lJ7c0Y5jgGcD76G0cdgXOFLSfpRdmi8DTgT2qxVgRExMCpyTYHuZ2jHEo0tv1IgJuxv4\nWe0gYiHJSTcdB6xEmUi8PfAS4JXAtpSedhtVi6y/kpPuuELSYls02V67jWACSE6mgn+hFNBmAMdT\nVqTfQfley0DU9rwG2Nr2DwEk/QK4EliHsrDpFbavqBhfRExQCpzxuJHeqBGT8hHgGEkHUNpvPDz4\nou0bqkTVb8lJN20C/L3tGyW9hTLE7qeSbgV+Wzm2vkpOuuNwys2Z6I7kpMOafo8zgecBK9q+T9J6\nwMbAncDO9aLrnacAV409sX1t0+ZsJqXwma3pEVNECpzxeJLeqBGP3YrA31MGEgxuZxshbTZqSU66\naQ6woqT/Q7kAfVdzfC3KiptoX3LSDaPAN2zfWjuQmC856ahmQcbJNP0ege9RtkbfR/lOewHp99i2\nEWB4Icw84MAUNyOmlhQ44/EkvVEjHrvPAic0f8MDbaKO5KSbvgOcScnJncD5krYGvkC5WI32JSfd\nkIE23ZOcdNfRpN/jVDG7dgAR8dikwBmPG+mNGjEpKwBH255RO5CYLznppl2A3YBpwAm250haHvgU\nZUBBtC856YZTyM2YrklOuiv9Hrtpa0n3DDxfFnhr0/JkPtunthtWRDwWI6OjGbAXEdFXzYqBtYDd\nbM+pHU8kJ1NBsyX6bmDUdk6kOiA5iYipoBn8tKbtmweO3Q9cSPo9ViFpJgu3BFqU0Qzliui2FDgj\nInpM0o+ADSmrBmZReg7NlxO59iUn3SRphLJlcE/KQILplCm39wJ72H6gYni9lJxExFQj6WFg9cH+\nqJJmA6+2/at6kUVETH3Zoh4R0W8nk151XXMyyUkXfRzYBtie0vcRyjbQLwGHAbvXCavXkpOIeLxI\nv8eIiCWUFZwRERERiyFpBrC97cua1Tbr2J4h6TXAN22vXjnE3klOImKqaVZw7g4M9ns8HjgASL/H\niIglkBWcERE91myHXuSdLtubtBhOkJx02NOBP41z/E5gpZZjiSI5iYip5gbgI0PHZgG7Dh0bBVLg\njIh4DFLgjIjot0uGnj8BWBvYAvhk69EEJCdd9UNgb+ADzfNRSSsDhwA/qhZVvyUnETGl2H527Rgi\nIh6vskU9IiIeQdL2wNtsb1k7liiSk7okrQmcBTwLWBX4XfP4euCNtmfWi66fkpOIiIiIGJMVnBER\nMZ5LgWNrBxELSU7qutP2BpI2AV5AOYcy8H3bD9cNrbeSk4iIiIgAUuCMiOg1Sc8a5/DKlG2fM9uN\nJiA56bDfSnqL7YuBi2sHE0ByEhERERGNFDgjIvptJqWR/cjQ8RuBnVqPJiA56aqHgOVqBxELSU4i\nIiIiAkiBMyKi79Yaej4KzLV9S41gAkhOuup84AeSzqMUoecMvmj74BpB9VxyEhERERFAhgxFRPSO\npOsoRbPFsr32Ug4nSE6mAkmPNpV71PYmrQUTQHISEREREQtkBWdERP8cOPR8BDgOOAC4tfVoApKT\nzpK0LfBWYBZwju2vVw6p95KTiIiIiBiWFZwREYGk2cA6tmfUjiWK5KQ+SXsAnwP+HZgH/CNwhO39\nqgbWY8lJRERERIxnmdoBRERERHTUzsBOtjezvSXwLmBXScMDoKI9yUlEREREPEIKnBERERHjew7w\nw4Hn5wJPBtaoE06QnERERETEOFLgjIiIiBjfE4AHx57YngfcD6xQLaJITiIiIiLiETJkKCKiZyRt\nN87hZYG3SPrz4EHbp7YTVb8lJxEREREREZOXAmdERP8cNM6xWcCHho6NAimmtSM56a6tJd0z8DyF\n5/qSk4iIiIhYSKaoR0RERIxD0kxKUXlxRm2vvXSjCUhOIiIiImJ8KXBGRERERERERETElJUhQxER\nERERERERETFlpcAZERERERERERERU1YKnBERERERERERETFlpcAZERERERERERERU1YKnBERERER\nERERETFlpcAZERERERERERERU1YKnBERERERERERETFlpcAZERERERERERERU9b/Av0fpvGJlmJW\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f6ea390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize=(18, 18))\n",
    "sb.heatmap(X_scaled.corr(), annot=True, linewidths=.5, fmt= '.1f',ax=ax)\n",
    "plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Classification Algorithms"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 Splitting training and test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x_train, x_test, y_train, y_test = train_test_split(X_scaled, Y, test_size=0.25, random_state=28)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "clf_rf = RandomForestClassifier(random_state=23)      \n",
    "clr_rf = clf_rf.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  1.0\n"
     ]
    }
   ],
   "source": [
    "y_predict = clf_rf.predict(x_test)\n",
    "accuracy = accuracy_score(y_test, y_predict )\n",
    "print('Accuracy: ', accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11f6c5390>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfYAAAFhCAYAAACCiIhHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f7e1c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "conf_matrix = confusion_matrix(y_test, y_predict)\n",
    "sb.heatmap(conf_matrix, annot=True, fmt=\"d\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3 Support Vector Machine (SVM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "clf_svm = SVC(kernel='linear', random_state=12)\n",
    "clf_svm = clf_svm.fit(x_train, y_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  0.999890004125\n"
     ]
    }
   ],
   "source": [
    "y_predict = clf_svm.predict(x_test)\n",
    "accuracy = accuracy_score(y_test, y_predict)\n",
    "print('Accuracy: ', accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x120727ac8>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfYAAAFhCAYAAACCiIhHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x120332358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "conf_matrix = confusion_matrix(y_test, y_predict)\n",
    "sb.heatmap(conf_matrix, annot=True, fmt=\"d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
